pinglmlcv

BA3US

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

BiSIDA

Code for "Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation" accepted by AAAI-2021.

Black-box-Adversarial-Reprogramming

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

CLADE

Semantic Image Synthesis via Efficient Class-Adaptive Normalization

CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

ContrastiveSeg

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

CVPR2021_VSPW_Implement

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

DANCE

repository for Universal Domain Adaptation through Self-supervision

DIHCL

Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)

EAGRNet

Edge-aware Graph Representation Learning and Reasoning for Face Parsing (ECCV 2020)

FedNova

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

gansformer

Generative Adversarial Transformers

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

InfoGraph

Official code for ICLR spotlight paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

margin-openset

[ICCV2019] Attract or Distract: Exploit the Margin of Open Set

metapoison

Craft poisoned data using MetaPoison

MOON

Model-Contrastive Federated Learning (CVPR 2021)

PLMpapers

Must-read Papers on pre-trained language models.

POT

POT : Python Optimal Transport

ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

ROS

Rotation-based Open Set

SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

TSIT

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

TTSR

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

Unsupervised-Domain-Adaptation-with-Differential-Treatment

[CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

VisionLearningGroup.github.io

VividGAN