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3catn

Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

adversarial-metric-learning

afn

Code release for "Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach".

arn

This repository is the code for ARN in CVPR 2018 workshop

atda

Improving the Generalization of Adversarial Training with Domain Adaptation

btda

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

caan

Domain adaptation and domain generalization

cbst

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

cdan_pytorch

a pytorch implementation of Domain Adaptation Algorithm CDAN

cfnn_domain_generalization

cloudapi

OpenALPR Cloud API Client Libraries

cosine_metric_learning

Deep Cosine Metric Learning for Person Re-identification

cycada_release

Code to accompany ICML 2018 paper

daml

Deep Adversarial Metric Learning

ddg

Domain generalization and domain adaptation

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-metric-learning

deep-metric-learning-1

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-transfer-learning

deep-transfer-learning-1

A collection of implementations of deep domain adaptation algorithms

deep_metric

Deep Metric Learning Accepted by CVPR-2019

deep_metric_learning

Deep metric learning methods implemented in Chainer

deep_metric_learning-1

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepspectralclustering

Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper