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Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
Awesome Dataset Distillation Papers
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Knowledge Distillation
[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
'Rethinking Knowledge Distillation via Cross-Entropy' and 'ViTKD: Practical Guidelines for ViT Feature Knowledge Distillation'
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection
Official pytorch implementation for "Curriculum Temperature for Knowledge Distillation" (AAAI 2023) https://arxiv.org/abs/2211.16231
PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection
Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022
A minimalist unofficial implementation of "Self-Distillation from the Last Mini-Batch for Consistency Regularization"
Official pytorch implementation for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?"
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)
This repo contains the code for the WACV 2023 paper Global-Local Self-Distillation for Visual Representation Learning.
[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
Official implementation of Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
knowledge distillation papers
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.
Pytorch implementation of various Knowledge Distillation (KD) methods.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.