chenrxi

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

loss-landscape

Code for visualizing the loss landscape of neural nets

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

PFLlib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

vit-explain

Explainability for Vision Transformers

awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

pidinet

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

RKD

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

PersonalizedFL

Personalized federated learning codebase for research

plato

A federated learning framework to support scalable and reproducible research

SupCon-Framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

CVPR22-Fact

Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

SketchTokens

A tool for extracting contour-based mid-level features, and to extract contour segmentations from images

CASE

Accepted by ICCV2023, Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach

CKA-similarity

An Numpy and PyTorch Implementation of CKA-similarity with CUDA support

CVPR21-Proser

Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)

C3BN

accepted by ICME2023 oral（CCF B）

FedFA

ICLR 2023 - FedFA: Federated Feature Augmentation

SCAFFOLD-PyTorch

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

FedNH

Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.

Fast-edge-detection-using-structured-forests

Doll´ar, P., and Zitnick, C. L. 2015. Fast edge detection using structured forests. IEEE transactions on pattern analysis and machine intelligence 37(8):1558–1570

Subspace-Prompt-Learning

Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)

InstructDet

PromptFL

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model

SPPA

Pytorch implementation of: "Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment", ECCV22

contour2segmentations

Matlab code for converting contour to segmentations

FedAGM

Repro-Federated-Learning

Reproduce federated learning algorithms with PyTorch.