awesome-domain-adaptation

This repo is a collection of AWESOME things about domain adaptation, including papers, code, etc. Feel free to star and fork.

awesome-domain-adaptation
Contents
Papers
Library
Lectures and Tutorials
Other Resources

Papers

Survey

Arxiv

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey [17 Nov 2022] [project]
A Survey on Deep Domain Adaptation for LiDAR Perception [7 Jun 2021]
A Comprehensive Survey on Transfer Learning [7 Nov 2019]
Transfer Adaptation Learning: A Decade Survey [12 Mar 2019]
A review of single-source unsupervised domain adaptation [16 Jan 2019]
An introduction to domain adaptation and transfer learning [31 Dec 2018]
A Survey of Unsupervised Deep Domain Adaptation [6 Dec 2018]
Transfer Learning for Cross-Dataset Recognition: A Survey [2017]
Domain Adaptation for Visual Applications: A Comprehensive Survey [2017]

Journal

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation [TNNLS 2020]
Deep Visual Domain Adaptation: A Survey [Neurocomputing 2018]
A Survey on Deep Transfer Learning [ICANN2018]
Visual domain adaptation: A survey of recent advances [2015]

Theory

Arxiv

A Theory of Label Propagation for Subpopulation Shift [22 Feb 2021]
A General Upper Bound for Unsupervised Domain Adaptation [3 Oct 2019]
On Deep Domain Adaptation: Some Theoretical Understandings [arXiv 15 Nov 2018]

Conference

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift [NeurIPS 2020]
Bridging Theory and Algorithm for Domain Adaptation [ICML2019] [Pytorch]
On Learning Invariant Representation for Domain Adaptation [ICML2019] [code]
Unsupervised Domain Adaptation Based on Source-guided Discrepancy [AAAI2019]
Learning Bounds for Domain Adaptation [NIPS2007]
Analysis of Representations for Domain Adaptation [NIPS2006]

Journal

On a Regularization of Unsupervised Domain Adaptation in RKHS [ACHA2021]
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]
On generalization in moment-based domain adaptation [AMAI2020]
A theory of learning from different domains [ML2010]

Explainable

Conference

Visualizing Adapted Knowledge in Domain Transfer [CVPR2021] [Pytorch]

Unsupervised DA

Adversarial Methods

Conference

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation [CVPR2022] [Pytorch]
A Closer Look at Smoothness in Domain Adversarial Training [ICML2022] [Pytorch]
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation [NeurIPS2021] [Pytorch]
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate [ICCV2021]
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation [ICCV2021]
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation [ICCV2021]
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
Self-adaptive Re-weighted Adversarial Domain Adaptation [IJCAI2020]
DIRL: Domain-Invariant Reperesentation Learning Approach for Sim-to-Real Transfer [CoRL2020] [Project]
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation [ECCV2020] [PyTorch]
Gradually Vanishing Bridge for Adversarial Domain Adaptation [CVPR2020] [Pytorch]
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation [ICML2020] [Pytorch]
Adversarial-Learned Loss for Domain Adaptation [AAAI2020]
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation [AAAI2020]
Adversarial Domain Adaptation with Domain Mixup [AAAI2020] [Pytorch]
Discriminative Adversarial Domain Adaptation [AAAI2020] [Pytorch]
Bi-Directional Generation for Unsupervised Domain Adaptation [AAAI2020]
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning [ICASSP 2020]
Curriculum based Dropout Discriminator for Domain Adaptation [BMVC2019] [Project]
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition [IJCNN2019] [Matlab]
Transfer Learning with Dynamic Adversarial Adaptation Network [ICDM2019]
Joint Adversarial Domain Adaptation [ACM MM2019]
Cycle-consistent Conditional Adversarial Transfer Networks [ACM MM2019] [Pytorch]
Learning Disentangled Semantic Representation for Domain Adaptation [IJCAI2019] [Tensorflow]
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation [ICML2019] [Pytorch]
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers [ICML2019] [Pytorch]
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch]
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow]
Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019]
Attending to Discriminative Certainty for Domain Adaptation [CVPR2019] [Project]
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation [CVPR2019]
Domain-Symmetric Networks for Adversarial Domain Adaptation [CVPR2019] [Pytorch]
DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
Progressive Feature Alignment for Unsupervised Domain Adaptation [CVPR2019] [Tensorflow]
Gotta Adapt ’Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild [CVPR2019]
Looking back at Labels: A Class based Domain Adaptation Technique [IJCNN2019] [Project]
Consensus Adversarial Domain Adaptation [AAAI2019]
Transferable Attention for Domain Adaptation [AAAI2019]
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation [AAAI2019]
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation [ICLR2019]
Conditional Adversarial Domain Adaptation [NIPS2018] [Pytorch(official)] [Pytorch(third party)]
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model [ECCV2018]
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization [ECCV2018]
Learning Semantic Representations for Unsupervised Domain Adaptation [ICML2018] [TensorFlow(Official)]
CyCADA: Cycle-Consistent Adversarial Domain Adaptation [ICML2018] [Pytorch(official)]
From source to target and back: Symmetric Bi-Directional Adaptive GAN [CVPR2018] [Keras(Official)] [Pytorch]
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation [CVPR2018] [Tensorflow]
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
Adversarial Feature Augmentation for Unsupervised Domain Adaptation [CVPR2018] [TensorFlow(Official)]
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
Generate To Adapt: Aligning Domains using Generative Adversarial Networks [CVPR2018] [Pytorch(Official)]
Image to Image Translation for Domain Adaptation [CVPR2018]
Unsupervised Domain Adaptation with Similarity Learning [CVPR2018]
Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018]
Collaborative and Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch]
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation [CVPR2018]
Multi-Adversarial Domain Adaptation [AAAI2018] [Caffe(Official)]
Wasserstein Distance Guided Representation Learning for Domain Adaptation [AAAI2018] [TensorFlow(official)] [Pytorch]
Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
Adversarial Dropout Regularization [ICLR2018]
A DIRT-T Approach to Unsupervised Domain Adaptation [ICLR2018 Poster] [Tensorflow(Official)]
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks [NIPS2017] [Project]
Adversarial Discriminative Domain Adaptation [CVPR2017] [Tensorflow(Official)] [Pytorch]
Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [CVPR2017] [Tensorflow(Official)] [Pytorch]
Domain Separation Networks [NIPS2016]
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation [ECCV2016]
Domain-Adversarial Training of Neural Networks [JMLR2016]
Unsupervised Domain Adaptation by Backpropagation [ICML2015] [Caffe(Official)] [Tensorflow] [Pytorch]

Journal

Incremental Unsupervised Domain-Adversarial Training of Neural Networks [TNNLS 2020]
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]
Adversarial Learning and Interpolation Consistency for Unsupervised Domain Adaptation [IEEE ACCESS]
TarGAN: Generating target data with class labels for unsupervised domain adaptation [Knowledge-Based Systems]

Arxiv

Bi-Directional Generation for Unsupervised Domain Adaptation [12 Feb 2020]
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation [19 Feb 2020] [Tensorflow]
Learning Domain Adaptive Features with Unlabeled Domain Bridges [10 Dec 2019]
Reducing Domain Gap via Style-Agnostic Networks [25 Oct 2019]
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment [23 Oct 2019]
Adversarial Variational Domain Adaptation [25 Sep 2019]
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation [arXiv 13 Sep 2019]
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation [arXiv 11 Jun 2019]
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation [arXiv 10 Jun 2019]
Adversarial Domain Adaptation Being Aware of Class Relationships [arXiv 28 May 2019]
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption [arXiv 30 Nov 2018]
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks [arXiv 17 Feb 2019]
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification [arXiv 30 Dec 2018]
Unsupervised Domain Adaptation using Generative Models and Self-ensembling [arXiv 2 Dec 2018]
Domain Confusion with Self Ensembling for Unsupervised Adaptation [arXiv 10 Oct 2018]
Improving Adversarial Discriminative Domain Adaptation [arXiv 10 Sep 2018]
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning [arXiv 6 Jul 2018] [Pytorch(official)]
Factorized Adversarial Networks for Unsupervised Domain Adaptation [arXiv 4 Jun 2018]
DiDA: Disentangled Synthesis for Domain Adaptation [arXiv 21 May 2018]
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks [arXiv 25 Apr 2018]
Causal Generative Domain Adaptation Networks [arXiv 28 Jun 2018]

Distance-based Methods

Journal

Transferable Representation Learning with Deep Adaptation Networks [TPAMI]
Robust unsupervised domain adaptation for neural networks via moment alignment [InfSc2019]

Conference

Domain Conditioned Adaptation Network [AAAI2020] [Pytorch]
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation [AAAI2020] [Tensorflow]
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation [ICCV2019]
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation [AAAI2019]
Residual Parameter Transfer for Deep Domain Adaptation [CVPR2018]
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation [AAAI2018]
Central Moment Discrepancy for Unsupervised Domain Adaptation [ICLR2017], [InfSc2019], [code]
Deep CORAL: Correlation Alignment for Deep Domain Adaptation [ECCV2016]
Learning Transferable Features with Deep Adaptation Networks [ICML2015][code]
Unsupervised Domain Adaptation with Residual Transfer Networks [NIPS2016] [code]
Deep Transfer Learning with Joint Adaptation Networks [ICML2017] [code]

Arxiv

Deep Domain Confusion: Maximizing for Domain Invariance [Arxiv 2014]

Information-based Methods

Hypothesis Disparity Regularized Mutual Information Maximization [AAAI2021]

Optimal Transport

Conference

MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning [UAI2021]
LAMDA: Label Matching Deep Domain Adaptation [ICML2021]
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport [IJCAI2021]
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation [ICML2021] [Pytorch]
Graph Optimal Transport for Cross-Domain Alignment [ICML2020]
Margin-aware Adversarial Domain Adaptation with Optimal Transport [ICML2020] [code]
Metric Learning in Optimal Transport for Domain Adaptation [IJCAI2020]
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation [CVPR2020]
Enhanced Transport Distance for Unsupervised Domain Adaptation [CVPR2020] [Pytorch]
Differentially Private Optimal Transport: Application to Domain Adaptation [IJCAI2019]
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation [ECCV2018] [Keras]
Joint Distribution Optimal Transportation for Domain Adaptation [NIPS2017] [python] [Python Optimal Transport Library]

Arxiv

CDOT: Continuous Domain Adaptation using Optimal Transport [20 Sep 2019]

Incremental Methods

Incremental Unsupervised Domain-Adversarial Training of Neural Networks [TNNLS 2020]

Semi-Supervised-Learning-Based Methods

Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation [ECCV2020]
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners [arXiv 2021][Pytorch]

Self-training-Based Methods

Cycle Self-Training for Domain Adaptation [NeurIPS2021]
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark [ICCV Workshop 2021] [Pytorch]
Instance Adaptive Self-Training for Unsupervised Domain Adaptation [ECCV 2020] [Pytorch]
Self-training Avoids Using Spurious Features Under Domain Shift [NeurIPS 2020]
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation [ECCV2020]

Arxiv

Probabilistic Contrastive Learning for Domain Adaptation [arXiv 20211] [Pytorch]
Gradual Domain Adaptation via Self-Training of Auxiliary Models[arXiv 2021][Pytorch]

Self-Supervised Methods

Conference

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation [ECCV2020]

Arxiv

Unsupervised Domain Adaptation through Self-Supervision [arXiv 26 Sep 2019]

Other Methods

Conference

Revisiting Unsupervised Domain Adaptation Models: a Smoothness Perspective [ACCV2022] [Pytorch]
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment [NeurIPS2021]
Pareto Domain Adaptation [NeurIPS2021]
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation [NeurIPS2021]
A Prototype-Oriented Framework for Unsupervised Domain Adaptation [NeurIPS2021]
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning [NeurIPS2021]
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation [ICCV2021]
Transporting Causal Mechanisms for Unsupervised Domain Adaptation [ICCV2021]
Semantic Concentration for Domain Adaptation [ICCV2021]
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation [CVPR2021]
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier [CVPR2021]
Conditional Bures Metric for Domain Adaptation [CVPR2021]
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation [CVPR2021]
Visualizing Adapted Knowledge in Domain Transfer [CVPR2021] [Pytorch]
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation [CVPR2021] [code coming soon]
Dynamic Domain Adaptation for Efficient Inference [CVPR2021] [Pytorch]
Transferable Semantic Augmentation for Domain Adaptation [CVPR2021] [Pytorch]
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation [CVPR2021]
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation [CVPR2021]
Dynamic Weighted Learning for Unsupervised Domain Adaptation [CVPR2021]
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift [NeurIPS 2020]
Transferable Calibration with Lower Bias and Variance in Domain Adaptation [NeurIPS 2020]
A Dictionary Approach to Domain-Invariant Learning in Deep Networks [NeurIPS 2020]
Heuristic Domain Adaptation [NeurIPS2020] [Pytorch]
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search [ECCV2020][code]
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation [ECCV2020]
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation [ECCV2020]
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation [ECCV2020]
Minimum Class Confusion for Versatile Domain Adaptation [ECCV2020]
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift [ECCV2020] [Pytorch]
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation [ECCV2020] [PyTorch]
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering [CVPR2020 Oral] [Pytorch]
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations [CVPR2020 Oral] [Pytorch]
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization [CVPR2020]
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss [CVPR2020] [Pytorch]
Stochastic Classifiers for Unsupervised Domain Adaptation [CVPR2020]
Structure Preserving Generative Cross-Domain Learning [CVPR2020]
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation [CVPR2020] [code]
Domain Adaptive Multiflow Networks [ICLR2020]
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment [AAAI2020]
Visual Domain Adaptation by Consensus-based Transfer to Intermediate Domain [Paper]
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling [AAAI2020] [Matlab]
CUDA: Contradistinguisher for Unsupervised Domain Adaptation [ICDM2019]
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment [ICML2019]
Batch Weight for Domain Adaptation With Mass Shift [ICCV2019]
Switchable Whitening for Deep Representation Learning [ICCV2019] [pytorch]
Confidence Regularized Self-Training [ICCV2019 Oral] [Pytorch]
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation [ICCV2019] [Pytorch(official)]
Transferrable Prototypical Networks for Unsupervised Domain Adaptation [CVPR2019(Oral)]
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation [CVPR2019]
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss [CVPR 2019] [Pytorch]
Domain Specific Batch Normalization for Unsupervised Domain Adaptation [CVPR2019] [Pytorch]
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs [CVPR2019] [Pytorch]
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach [CVPR2019] [Project]
Contrastive Adaptation Network for Unsupervised Domain Adaptation [CVPR2019] [Pytorch]
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation [CVPR2019]
Unsupervised Domain Adaptation via Calibrating Uncertainties [CVPRW2019]
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation [IJCAI2019]
Unsupervised Domain Adaptation for Distance Metric Learning [ICLR2019]
Co-regularized Alignment for Unsupervised Domain Adaptation [NIPS2018]
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation [TIP 2018]
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation [ECCV2018]
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018]
Unsupervised Domain Adaptation with Distribution Matching Machines [AAAI2018]
Learning to cluster in order to transfer across domains and tasks [ICLR2018] [Bolg] [Pytorch]
Self-Ensembling for Visual Domain Adaptation [ICLR2018]
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation [ICLR2018] [TensorFlow]
Associative Domain Adaptation [ICCV2017] [TensorFlow] [Pytorch]
AutoDIAL: Automatic DomaIn Alignment Layers [ICCV2017]
Asymmetric Tri-training for Unsupervised Domain Adaptation [ICML2017] [TensorFlow]
Learning Transferrable Representations for Unsupervised Domain Adaptation [NIPS2016]

Journal

Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search [IEEE TMI 2020][code]
Adaptive Batch Normalization for practical domain adaptation [Pattern Recognition(2018)]
Unsupervised Domain Adaptation by Mapped Correlation Alignment [IEEE ACCESS]

Arxiv

Low-confidence Samples Matter for Domain Adaptation [6 Feb 2022] [Pytorch]
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck [21 Nov 2019]
Deep causal representation learning for unsupervised domain adaptation [28 Oct 2019]
Domain-invariant Learning using Adaptive Filter Decomposition [25 Sep 2019]
Discriminative Clustering for Robust Unsupervised Domain Adaptation [arXiv 30 May 2019]
Virtual Mixup Training for Unsupervised Domain Adaptation [arXiv on 24 May 2019] [Tensorflow]
Learning Smooth Representation for Unsupervised Domain Adaptation [arXiv 26 May 2019]
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation [arXiv 13 Apr 2019]
Easy Transfer Learning By Exploiting Intra-domain Structures [arXiv 2 Apr 2019]
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation [arXiv 30 Jan 2019]
Domain Alignment with Triplets [arXiv 22 Jan 2019]
Deep Discriminative Learning for Unsupervised Domain Adaptation [arXiv 17 Nov 2018]

Semi-supervised DA

Conference

Multi-level Consistency Learning for Semi-supervised Domain Adaptation [IJCAI 2022]
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation [ICLR 2022]
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation [NeurIPS]
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation [ICCV2021]
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation [ICCV2021]
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation [CVPR2021]
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation [CVPR2021]
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation [CVPR2021]
Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics [CVPRW2021] [Code]
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation [ECCV2020]
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation [ECCV2020]
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation [IJCAI2020]
Semi-supervised Domain Adaptation via Minimax Entropy [ICCV2019] [Pytorch]

Journal

Context-guided entropy minimization for semi-supervised domain adaptation [Neural Networks] [pytorch]

Arxiv

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation [ 24 Jul 2020]
Opposite Structure Learning for Semi-supervised Domain Adaptation [6 Feb 2020]
Reducing Domain Gap via Style-Agnostic Networks [25 Oct 2019]

Weakly-Supervised DA

Conference

Towards Accurate and Robust Domain Adaptation under Noisy Environments [IJCAI2020]
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
Transferable Curriculum for Weakly-Supervised Domain Adaptation [AAAI2019]

Arxiv

Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation [arXiv on 19 May 2019]

Zero-shot DA

Conference

Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation [ICCV2021]
Zero-Shot Day-Night Domain Adaptation with a Physics Prior [ICCV2021]
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images [ECCV2020]
Adversarial Learning for Zero-shot Domain Adaptation [ECCV2020]
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation [ECCV2020]
Zero-shot Domain Adaptation Based on Attribute Information [ACML2019]
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation [ICCV2019]
Generalized Zero-Shot Learning with Deep Calibration Network [NIPS2018]
Zero-Shot Deep Domain Adaptation [ECCV2018]

One-shot DA

Conference

Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation [NeurIPS2020] [Pytorch]
One-Shot Adaptation of Supervised Deep Convolutional Models [ICLR Workshop 2014]

Arxiv

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning [arxiv]

Few-shot UDA

Conference

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation [CVPR2021] [Pytorch] [Project]

Arxiv

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels [arXiv 18 Mar 2020]

Few-shot DA

Conference

Domain-Adaptive Few-Shot Learning[WACV2021] [Pytorch]
Few-shot Domain Adaptation by Causal Mechanism Transfer [ICML2020] [Pytorch]
Few-Shot Adaptive Faster R-CNN [CVPR2019]
d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding [CVPR2019 Oral]
Few-Shot Adversarial Domain Adaptation [NIPS2017]

Partial DA

Conference

Implicit Semantic Response Alignment for Partial Domain Adaptation [NeurIPS2021] [Pytorch]
Adversarial Reweighting for Partial Domain Adaptation [NeurIPS2021]
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation [ECCV2020] [Pytorch]
Discriminative Partial Domain Adversarial Network [ECCV2020]
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation [CVPR2020]
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation [ACM MM2020]
Multi-Weight Partial Domain Adaptation [BMVC2019]
Learning to Transfer Examples for Partial Domain Adaptation [CVPR2019] [Pytorch]
Partial Adversarial Domain Adaptation [ECCV2018] [Pytorch(Official)]
Importance Weighted Adversarial Nets for Partial Domain Adaptation [CVPR2018] [Caffe]
Partial Transfer Learning with Selective Adversarial Networks [CVPR2018][paper weekly] [Pytorch(Official) & Caffe(official)]

Journal

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]

Arxiv

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation [arXiv 06 Dec 2020]
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [20 Feb 2020] [PyTroch]
Tackling Partial Domain Adaptation with Self-Supervision [arXiv 12 Jun 2019]
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation [arXiv 10 May 2019]

Open Set DA

Conference

Towards Novel Target Discovery Through Open-Set Domain Adaptation [ICCV2021]
On the Effectiveness of Image Rotation for Open Set Domain Adaptation [ECCV2020] [Pytorch]
Multi-Source Open-Set Deep Adversarial Domain Adaptation [ECCV2020]
Progressive Graph Learning for Open-Set Domain Adaptation [ICML2020] [Pytorch]
Joint Partial Optimal Transport for Open Set Domain Adaptation [IJCAI2020]
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation [CVPR2020]
Towards Inheritable Models for Open-Set Domain Adaptation [CVPR 2020] [Project]
Attract or Distract: Exploit the Margin of Open Set [ICCV2019] [code]
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation [CVPR2019] [Pytorch]
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
Learning Factorized Representations for Open-set Domain Adaptation [ICLR2019]
Open Set Domain Adaptation by Backpropagation [ECCV2018] [Pytorch(Official)] [Tensorflow] [Pytorch]
Open Set Domain Adaptation [ICCV2017]

Journal

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation [IEEE TMM] [Pytorch]

Arxiv

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation [10 Feb 2020]
Known-class Aware Self-ensemble for Open Set Domain Adaptation [3 May 2019]

Universal DA

Conference

Subsidiary Prototype Alignment for Universal Domain Adaptation [NeurIPS2022] [Project Page]
OVANet: One-vs-All Network for Universal Domain Adaptation [ICCV2021]
Active Universal Domain Adaptation [ICCV 2021]
Domain Consensus Clustering for Universal Domain Adaptation [CVPR 2021] [Pytorch]
Divergence Optimization for Noisy Universal Domain Adaptation [CVPR2021]
Universal Domain Adaptation through Self Supervision [NeurIPS 2020] [Pytorch]
Learning to Detect Open Classes for Universal Domain Adaptation [ECCV2020] [code]
Universal Source-Free Domain Adaptation [CVPR2020] [Project]
Universal Domain Adaptation [CVPR2019] [Pytorch]

Arxiv

Universal Multi-Source Domain Adaptation [5 Nov 2020]
A Sample Selection Approach for Universal Domain Adaptation [14 Jan 2020]

Open Compound DA

Conference

Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation [NeurIPS2020]
Open Compound Domain Adaptation [CVRP2020 Oral] [Pytorch]

Journal

Source-Free Open Compound Domain Adaptation in Semantic Segmentation [TCSVT 2022]

Multi Source DA

Conference

Confident Anchor-Induced Multi-Source Free Domain Adaptation [NeurIPS2021] [code is coming soon]
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets [ICCV2021]
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees [ICCV2021]
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation [ICCV2021]
Multi-Source Domain Adaptation for Object Detection [ICCV2021]
Information-Theoretic Regularization for Multi-Source Domain Adaptation [ICCV2021]
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation [CVPR2021]
Wasserstein Barycenter for Multi-Source Domain Adaptation [CVPR2021] [Code]
Unsupervised Multi-source Domain Adaptation Without Access to Source Data [CVPR2021]
Dynamic Transfer for Multi-Source Domain Adaptation [CVPR2021] [Pytorch]
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation [CVPR2021]
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning [UAI2021]
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark [ICCV Workshop 2021] [Pytorch]
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation [NeurIPS 2020] [Project]
Multi-Source Open-Set Deep Adversarial Domain Adaptation [ECCV2020]
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation [ECCV2020]
Multi-Source Open-Set Deep Adversarial Domain Adaptation [ECCV2020]
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation [ECCV2020]
Domain Aggregation Networks for Multi-Source Domain Adaptation [ICML2020]
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation [ECCV2020] [Pytorch]
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits [AAAI2020]
Multi-source Domain Adaptation for Visual Sentiment Classification [AAAI2020]
Multi-source Distilling Domain Adaptation [AAAI2020] [code]
Multi-source Domain Adaptation for Semantic Segmentation [NeurlPS2019] [Pytorch]
Moment Matching for Multi-Source Domain Adaptation [ICCV2019] [Pytorch]
Multi-Domain Adversarial Learning [ICLR2019] [Torch]
Algorithms and Theory for Multiple-Source Adaptation [NIPS2018]
Adversarial Multiple Source Domain Adaptation [NIPS2018] [Pytorch]
Boosting Domain Adaptation by Discovering Latent Domains [CVPR2018] [Caffe] [Pytorch]
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [CVPR2018] [Pytorch]

Journal

Graphical Modeling for Multi-Source Domain Adaptation [TPAMI 2022] [Pytorch]
A survey of multi-source domain adaptation [Information Fusion]

Arxiv

Domain Adaptive Ensemble Learning [arXiv]
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019 [14 Oct 2019]

Multi Target DA

Conference

CoNMix for Source-free Single and Multi-target Domain Adaptation [WACV2022] [Pytorch]
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation [CVPR2021] [Pytorch]
Multi-Target Domain Adaptation with Collaborative Consistency Learning [CVPR2021]

Arxiv

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach [arXiv]

Incremental DA

Conference

Lifelong Domain Adaptation via Consolidated Internal Distribution [NeurIPS2021]
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning [CVPR2021]
ConDA: Continual Unsupervised Domain Adaptation [CVPR2021]
Gradient Regularized Contrastive Learning for Continual Domain Adaptation [AAAI2021]
Gradual Domain Adaptation without Indexed Intermediate Domains [NeurIPS2021]
Learning to Adapt to Evolving Domains [NeurIPS 2020] [Pytorch]
Class-Incremental Domain Adaptation [ECCV2020]
Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
Continuous Manifold based Adaptation for Evolving Visual Domains [CVPR2014]

Multi Step DA

Arxiv

Adversarial Domain Adaptation for Stance Detection [arXiv]
Ensemble Adversarial Training: Attacks and Defenses [arXiv]

Conference

Distant domain transfer learning [AAAI2017]

Heterogeneous DA

Conference

Domain Adaptive Classification on Heterogeneous Information Networks [IJCAI2020]
Heterogeneous Domain Adaptation via Soft Transfer Network [ACM MM2019]

Target-agnostic DA

Arxiv

Compound Domain Adaptation in an Open World [8 Sep 2019]

Conference

Domain Agnostic Learning with Disentangled Representations [ICML2019] [Pytorch]
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks [CVPR2019] [Pytorch]

Federated DA

Arxiv

Federated Adversarial Domain Adaptation [5 Nov 2019]

Continuously Indexed DA

Conference

Continuously Indexed Domain Adaptation [ICML 2020] [Pytorch] [Project Page] [Video]

Source Free DA

Conference

CoNMix for Source-free Single and Multi-target Domain Adaptation [WACV2022] [Pytorch]
Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition [ECCV2022] [Pytorch] [Project]
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation [ECCV2022] [Project Page]
Balancing Discriminability and Transferability for Source-Free Domain Adaptation [ICML2022] [Project Page]
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation [IJCAI2021] [Pytorch]
Confident Anchor-Induced Multi-Source Free Domain Adaptation [NeurIPS2021] [Pytorch]
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data [NeurIPS2021] [Pytorch]
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation [NeurIPS2021] [Pytorch]
Unsupervised Domain Adaptation of Black-Box Source Models [BMVC2021][Pytorch]
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation [ICCV2021] [Project]
Generalized Source-free Domain Adaptation [ICCV2021] [Pytorch]
Adaptive Adversarial Network for Source-free Domain Adaptation [ICCV2021] [Pytorch]
Visualizing Adapted Knowledge in Domain Transfer [CVPR2021] [Pytorch]
Unsupervised Multi-source Domain Adaptation Without Access to Source Data [CVPR2021] [Pytorch]
Source-Free Domain Adaptation for Semantic Segmentation [CVPR2021]
Domain Impression: A Source Data Free Domain Adaptation Method [WACV2021] [Project]
Model Adaptation: Unsupervised Domain Adaptation Without Source Data [CVPR2020]
Universal Source-Free Domain Adaptation [CVPR2020] [Project]
Towards Inheritable Models for Open-Set Domain Adaptation [CVPR2020] [Project]
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation [ICML2020] [Pytorch]

Arxiv

Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer[7 Jul 2021][Pytorch]
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer [14 Dec 2020] [Pytorch]

Active DA

Conference

Multi-Anchor Active Domain Adaptation for Semantic Segmentation [ICCV2021]
Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings [ICCV2021]
Active Universal Domain Adaptation [ICCV2021]
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation [ICCV2021]
Transferable Query Selection for Active Domain Adaptation [CVPR2021]

Generalized Domain Adaptation

Conference

Generalized Domain Adaptation [CVPR2021]

Model Selection

The Balancing Principle for Parameter Choice in Distance-Regularized Domain Adaptation [NeurIPS2021] [Pytorch]
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation [ICML2019] [Pytorch]

Other Transfer Learning Paradigms

Domain Generalization

Conference

Sparse Mixture-of-Experts are Domain Generalizable Learners [ICLR2023(Oral)] [Pytorch]
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts [NeruIPS2022] [Pytorch]
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation [ECCV 2022] [Pytorch]
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification [CVPR 2021] [Pytorch]
Domain Generalization via Inference-time Label-Preserving Target Projections [CVPR2021] [Pytorch]
Domain Generalization via Entropy Regularization [NeurIPS2020] [Pytorch]
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization [NeurIPS2020]
Learning to Learn with Variational Information Bottleneck for Domain Generalization [ECCV2020]
Self-Challenging Improves Cross-Domain Generalization [ECCV2020] [Pytorch]
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization [ECCV2020] [Pytorch]
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization [ECCV2020] [Pytorch]
Learning to Generate Novel Domains for Domain Generalization [ECCV2020]
Learning to Optimize Domain Specific Normalization for Domain Generalization [ECCV2020]
Towards Recognizing Unseen Categories in Unseen Domains [ECCV2020] [Pytorch]
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition [ICML2020] [Pytorch]
Learning to Learn Single Domain Generalization [CVPR2020] [Pytorch]
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition [ICLR2020]
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation [ICLR2020]
Domain Generalization Using a Mixture of Multiple Latent Domains [AAAI2020] [Pytorch]
Deep Domain-Adversarial Image Generation for Domain Generalisation [Paper] [Pytorch]
Domain Generalization via Model-Agnostic Learning of Semantic Features [NeurIPS2019] [Tensorflow]
Episodic Training for Domain Generalization [ICCV2019 Oral] [Pytorch]](https://github.com/HAHA-DL/Episodic-DG)
Feature-Critic Networks for Heterogeneous Domain Generalization [ICML2019] [Pytorch]
Domain Generalization by Solving Jigsaw Puzzles [CVPR2019 Oral] [Pytorch]
MetaReg: Towards Domain Generalization using Meta-Regularization [NIPS2018]
Deep Domain Generalization via Conditional Invariant Adversarial Networks [ECCV2018]
Domain Generalization with Adversarial Feature Learning [CVPR2018]

Journal

Domain Generalization for Regression [IntellManuf2020]
Correlation-aware Adversarial Domain Adaptation and Generalization [Pattern Recognition(2019)] [code]

Arxiv

Adversarial Pyramid Network for Video Domain Generalization [8 Dec 2019]
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization [18 Sep 2019]
A Generalization Error Bound for Multi-class Domain Generalization [24 May 2019]
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization [29 Apr 2019]
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models [9 Dec 2018]

Domain Randomization

Conference

DeceptionNet: Network-Driven Domain Randomization [ICCV2019]
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data [ICCV2019]

Transfer Metric Learning

Transfer Metric Learning: Algorithms, Applications and Outlooks [arXiv]

Knowledge Transfer

Conference

Attention Bridging Network for Knowledge Transfer [ICCV2019]
Few-Shot Image Recognition with Knowledge Transfer [ICCV2019]

Others

Conference

Learning Across Tasks and Domains [ICCV2019]
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation [ICCV2019]
Domain Agnostic Learning with Disentangled Representations [ICML2019]
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization [CVPR2019] [Pytorch]

Arxiv

GradMix: Multi-source Transfer across Domains and Tasks [[9 Feb 2020]](GradMix: Multi-source Transfer across Domains and Tasks)
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets [arXiv 13 Dec 2018]

Applications

Object Detection

Survey

Unsupervised Domain Adaptation of Object Detectors: A Survey [Arxiv 27 May 2021]

Conference

Towards Robust Adaptive Object Detection under Noisy Annotations [CVPR2022] [PyTorch]
H²FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection [CVPR2022] [PyTorch] [PaddlePaddle]
Cross-Domain Adaptive Teacher for Object Detection [CVPR2022] [Project] [PyTorch]
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection [CVPR2022] [PyTorch]
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection [CVPR2022] [PyTorch]
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation [CVPR2022]
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection [CVPR2022]
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation [CVPR2022]
Decoupled Adaptation for Cross-Domain Object Detection [ICLR2022] [PyTorch]
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation [AAAI2022] [PyTorch]
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection [NeurIPS2021] [Project]
Multi-Source Domain Adaptation for Object Detection [ICCV2021]
Knowledge Mining and Transferring for Domain Adaptive Object Detection [ICCV2021]
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection [ICCV2021]
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection [ICCV2021]
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection [CVPR2021]
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection [CVPR2021]
SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection [CVPR2021]
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors [CVPR2021]
RPN Prototype Alignment for Domain Adaptive Object Detector [CVPR2021]
ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection [CVPR2021]
Domain-Specific Suppression for Adaptive Object Detection [CVPR2021]
Unbiased Mean Teacher for Cross-Domain Object Detection [CVPR2021]
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models [ECCV2020]
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection [ECCV2020]
One-Shot Unsupervised Cross-Domain Detection [ECCV2020]
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector [ECCV2020]
Adapting Object Detectors with Conditional Domain Normalization [ECCV2020]
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions [ECCV2020]
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN [ECCV2020]
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation [CVPR2020]
Harmonizing Transferability and Discriminability for Adapting Object Detectors [CVPR2020] [code]
Exploring Categorical Regularization for Domain Adaptive Object Detection [CVPR2020] [code]
Cross-domain Detection via Graph-induced Prototype Alignment [CVPR2020 Oral] [code]
Multi-spectral Salient Object Detection by Adversarial Domain Adaptation [Paper]
Deep Domain Adaptive Object Detection: a Survey [ICIP2020]
Progressive Domain Adaptation for Object Detection [WACV]
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night [IJCNN2019 Oral] [Project]
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection [ICCV2019 Oral]
A Robust Learning Approach to Domain Adaptive Object Detection [ICCV2019] [code]
Multi-adversarial Faster-RCNN for Unrestricted Object Detection [ICCV2019]
Few-Shot Adaptive Faster R-CNN [CVPR2019]
Exploring Object Relation in Mean Teacher for Cross-Domain Detection [CVPR2019]
Adapting Object Detectors via Selective Cross-Domain Alignment [CVPR2019] [Pytorch]
Automatic adaptation of object detectors to new domains using self-training [CVPR2019] [Project]
Towards Universal Object Detection by Domain Attention [CVPR2019]
Strong-Weak Distribution Alignment for Adaptive Object Detection [CVPR2019] [Pytorch]
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection [CVPR2019] [Pytorch]
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation [CVPR2018]
Domain Adaptive Faster R-CNN for Object Detection in the Wild [CVPR2018] [Caffe2] [Caffe] [Pytorch(under developing)]

Journal

Cross-domain object detection using unsupervised image translation [ESWA]
Pixel and feature level based domain adaptation for object detection in autonomous driving [Neurocomputing]

Arxiv

See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation [17 Nov 2021]
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation [3 Feb 2020]
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions [29 Nov 2019]
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning [17 Nov 2019]
Curriculum Self-Paced Learning for Cross-Domain Object Detection [15 Nov 2019]
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses [6 Nov 2019]

Semantic Segmentation

Conference

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023] [Pytorch]
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation [NeruIPS 2022] [Pytorch]
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation [ECCV 2022] [Pytorch]
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation [ECCV 2022] [Pytorch]
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation [ECCV 2022] [Pytorch]
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [CVPR 2022] [Pytorch]
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation [WACV 2022]
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries [WACV 2022]
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation [NeurIPS2021]
Dual Path Learning for Domain Adaptation of Semantic Segmentation [ICCV2021]
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation [ICCV2021]
Multi-Anchor Active Domain Adaptation for Semantic Segmentation [ICCV2021]
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation [ICCV2021]
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images [ICCV2021]
Geometric Unsupervised Domain Adaptation for Semantic Segmentation [ICCV2021]
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation [ICCV2021]
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation [ICCV2021]
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation [ICCV2021]
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation [ICCV2021]
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation [ICCV2021]
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation [ICCV2021]
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images [CVPR2021]
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation [CVPR2021]
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation [CVPR2021]
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds [CVPR2021]
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation [CVPR2021]
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training [CVPR2021] [Pytorch]
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
Cross-View Regularization for Domain Adaptive Panoptic Segmentation [CVPR2021]
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation [CVPR2021]
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation [CVPR2021]
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization [CVPR2021]
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation [CVPR2021]
Source-Free Domain Adaptation for Semantic Segmentation [CVPR2021]
Instance Adaptive Self-Training for Unsupervised Domain Adaptation [ECCV 2020] [Pytorch]
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning [ICASSP 2020]
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation [NeurlIPS 2020] [Pytorch]
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation [NeurIPS2020] [Pytorch]
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation [BMVC2020]
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation [ECCV2020]
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation [ECCV2020]
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation [ECCV2020]
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search [ECCV2020]
Domain Adaptive Semantic Segmentation Using Weak Labels [ECCV2020]
Content-Consistent Matching for Domain Adaptive Semantic Segmentation [ECCV2020] [PyTorch]
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer [CVPR2020]
Phase Consistent Ecological Domain Adaptation [CVPR2020] [Pytorch]
FDA: Fourier Domain Adaptation for Semantic Segmentation [CVPR2020] [Pytorch]
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting [CVPR2020]
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision [CVPR2020 Oral] [Pytorch]
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation [CVPR2020]
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation [CVPR2020] [Pytorch]
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation [CVPR2020] [Demo] [code]
Unsupervised Scene Adaptation with Memory Regularization in vivo [IJCAI2020] [code]
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation [AAAI2020]
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation [AAAI2020]
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation [NeurIPS2019] [code]
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling [WACV2020]
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation [WACV2020]
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation [ICCV2019]
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach [ICCV2019] [Pytorch]
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation [ICCV2019]
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation [ICCV2019]
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss [ICCV2019] [Pytorch]
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation [ICCV2019]
DADA: Depth-aware Domain Adaptation in Semantic Segmentation [ICCV2019] [code]
Domain Adaptation for Structured Output via Discriminative Patch Representations [ICCV2019 Oral] [Project]
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection [CVPR2019(Oral)]
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency [CVPR2019] [Project] [Pytorch]
Bidirectional Learning for Domain Adaptation of Semantic Segmentation [CVPR2019] [Pytorch]
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach [CVPR2019]
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation [CVPR2019] [Pytorch]
DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation [CVPR2019 Oral] [Pytorch]
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [CVPR2019 Oral] [Pytorch]
SPIGAN: Privileged Adversarial Learning from Simulation [ICLR2019]
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation [ECCV2018]
Domain transfer through deep activation matching [ECCV2018]
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [ECCV2018] [Pytorch]
DCAN: Dual channel-wise alignment networks for unsupervised scene adaptation [ECCV2018]
Fully convolutional adaptation networks for semantic segmentation [CVPR2018]
Learning to Adapt Structured Output Space for Semantic Segmentation [CVPR2018] [Pytorch]
Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018]
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation [CVPR2018] [Pytorch]
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes [ICCV2017] [Journal Version] [Keras]
No more discrimination: Cross city adaptation of road scene segmenters [ICCV2017]

Journal

Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation [TIP2022][Pytorch]
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation [IJCV2020][Pytorch]
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet [Neurocomputing 2021] [Pytorch]
Affinity Space Adaptation for Semantic Segmentation Across Domains [TIP2020][Pytorch]
Semantic-aware short path adversarial training for cross-domain semantic segmentation [Neurocomputing 2019]
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes [TIP]

Arxiv

Class-Conditional Domain Adaptation on Semantic Segmentation [27 Nov 2019]
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation [2 Sep 2019]
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation [8 Dec 2016]
BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments [13 Oct 2020][Pytorch]
SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments [27 Nov 2020][Pytorch]
Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images [26 Jun 2021] [Pytorch]

Person Re-identification

Conference

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification [CVPR 2021] [Pytorch]
Group-aware Label Transfer for Domain Adaptive Person Re-identification [CVPR2021]
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification [ECCV2020]
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification [ECCV2020]
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification [ECV2020]
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification [ECCV2020]
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification [ECCV2020]
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification [ECCV2020]
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup [ECCV2020]
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification [CVPR2020]
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification [CVPR2020]
Cross-Modal Cross-Domain Moment Alignment Network for Person Search [CVPR2020]
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification [CVPR2020]
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification [ICLR2020] [Pytorch]
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification [ICCV2019 Oral] [Pytorch]
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification [ICCV2019]
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification [CVPR2019] [Pytorch]
Domain Adaptation through Synthesis for Unsupervised Person Re-identification [ECCV2018]
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification [CVPR2018]
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification [CVPR2018]

Arxiv

Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning [arXiv 22 Apr 2021]
Structured Domain Adaptation for Unsupervised Person Re-identification [arXiv 14 Mar 2020]
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification [arXiv 25 May 2019]
Camera Adversarial Transfer for Unsupervised Person Re-Identification [arXiv 2 Apr 2019]
EANet: Enhancing Alignment for Cross-Domain Person Re-identification [arXiv 29 Dec 2018] [Pytorch]
One Shot Domain Adaptation for Person Re-Identification [arXiv 26 Nov 2018]
Similarity-preserving Image-image Domain Adaptation for Person Re-identification [arXiv 26 Nov 2018]

Sim-to-Real Transfer

Conference

DIRL: Domain-Invariant Reperesentation Learning Approach for Sim-to-Real Transfer [CoRL2020] [Project]

Video Domain Adaptation

Conference

Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition [ECCV2022] [Pytorch] [Project]
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing [NeurIPS2021]
Learning Cross-Modal Contrastive Features for Video Domain Adaptation [ICCV2021]
Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network [ICCV2021] [Pytorch]
Domain Adaptive Video Segmentation via Temporal Consistency Regularization [ICCV2021]
Shuffle and Attend: Video Domain Adaptation [ECCV2020]
Transferring Cross-Domain Knowledge for Video Sign Language Recognition [CVPR2020]
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation [CVPR2020] [Pytorch]
Transferring Cross-domain Knowledge for Video Sign Language Recognition [CVPR2020 Oral]
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition [CVPR2020 Oral]
Adversarial Cross-Domain Action Recognition with Co-Attention [AAAI2020]
Generative Adversarial Networks for Video-to-Video Domain Adaptation [Paper]
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation [ICCV2019 Oral] [Pytorch]
Temporal Attentive Alignment for Video Domain Adaptation [CVPRW 2019] [Pytorch]

Arxiv

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey [17 Nov 2022] [project]
Unsupervised Video Domain Adaptation: A Disentanglement Perspective [15 Aug 2022] [Pyotrch] [Project] [Gradio Demo]
Image to Video Domain Adaptation Using Web Supervision [5 Aug 2019]

Medical Related

Conference

Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning [ICASSP 2020]
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation [Paper]
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation [ICCV2019]

Journal

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet [Neurocomputing 2021] [Pytorch]

Arxiv

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation [arXiv 29 Aug 2019]
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation [arXiv on 24 Jan 2019]
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling [arXiv 14 Nov 2018]

Monocular Depth Estimation

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation [CVPR2019]
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer [CVPR2018]

3D

Conference

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation [ICCV2021]
Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation [ICCV2021]
Unsupervised Domain Adaptive 3D Detection With Multi-Level Consistency [ICCV2021]
Domain-Adaptive Single-View 3D Reconstruction [ICCV2019]

Fine-Grained Domain

Conference

Progressive Adversarial Networks for Fine-Grained Domain Adaptation [CVPR2020] [Pytorch]

LiDAR

Conference

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation [ECCV2022] [Pytorch]
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation [ECCV2022] [Pytorch]

ArXiv

ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation [13 Mar 2022]

Others

Conference

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation [3DV 2021 Oral]
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters [ICRA2022]
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking [ICCV2021]
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds [ICCV2021]
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density [ICCV2021]
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation [ICCV2021]
Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images [ICCV2021]
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective [ICCV2021]
Adversarial Robustness for Unsupervised Domain Adaptation [ICCV2021]
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation [ICCV2021]
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval [CVPR2021]
Spatio-temporal Contrastive Domain Adaptation for Action Recognition [CVPR2021]
Regressive Domain Adaptation for Unsupervised Keypoint Detection [CVPR2021]
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation [CVPR2021] [code coming soon]
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark [ICCV Workshop 2021] [Pytorch]
Adapting Neural Architectures Between Domains [NeurlPS 2020]
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition [ECCV2020]
A Broader Study of Cross-Domain Few-Shot Learning [ECCV2020]
Label-Noise Robust Domain Adaptation [ICML2020]
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model [IJCAI2020]
Domain Adaptation for Semantic Parsing [IJCAI2020]
Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation [IJCAI2020]
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation [IJCAI2020]
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects [CVPR2020]
One-Shot Domain Adaptation for Face Generation [CVPR2020]
Learning Meta Face Recognition in Unseen Domains [CVPR2020 Oral] [code]
Cross-Domain Document Object Detection: Benchmark Suite and Method [CVPR2020] [code]
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching [CVPR2020]
Domain Adaptation for Image Dehazing [CVPR2020]
Probability Weighted Compact Feature for Domain Adaptive Retrieval [CVPR2020] [code]
Disparity-Aware Domain Adaptation in Stereo Image Restoration [CVPR2020]
Multi-Path Learning for Object Pose Estimation Across Domains [CVPR2020]
Unsupervised Domain Adaptation for 3D Human Pose Estimation [ACM MM2019]
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation [NeurIPS 2019] [code]
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces [ICCV2019]
Cross-Domain Adaptation for Animal Pose Estimation [ICCV2019]
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition [ICCV2019]
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning [IJCNN]
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues [WWW2019]
Cross-Dataset Adaptation for Visual Question Answering [CVPR2018]
Cross-domain fault diagnosis through optimal transport for a CSTR process [DYCOPS2022] [Code]

Journal

DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization [TIP2020] [Pytorch]
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites [Image and Vision Computing 2020] [Pytorch] [Project]
Multi-source transfer learning of time series in cyclical manufacturing [JIntellManuf2020]
Domain adaptation for regression under Beer-Lambert's law [KBS2020]

Arxiv

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation [11 Nov 2019]
DANE: Domain Adaptive Network Embedding [arXiv 3 Jun 2019]
Active Adversarial Domain Adaptation [arXiv 16 Apr 2019]

Benchmarks

Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark [ICCV Workshop 2021] [Pytorch]
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision [ICCV Workshop 2021] [Pytorch]
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation [arXiv 26 Jun] [Project]
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations (ImageNet-C) [ICLR 2019] [PyTorch]

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