There are 2 repositories under domain-generalization topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Corruption and Perturbation Robustness (ICLR 2019)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A Harder ImageNet Test Set (CVPR 2021)
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
Domain Generalization with MixStyle. ICLR'21.
ImageNet-R(endition) and DeepAugment (ICCV 2021)
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
OOD Generalization and Detection (ACL 2020)
[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Benchmarks for semi-supervised domain generalization.
"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
Domain Generalization via Gradient Surgery
Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
A collection of awesome things about domain generalization, including papers, code, etc.
[ICLR'22] Self-supervised learning optimally robust representations for domain shift.
This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
A PyTorch toolbox for domain adaptation, domain generalization, federated learning DA/DG, active learning DA/DG, ALDG and semi-supervised learning DA/DG.
A More Robust Domain Feature Decoupling Network. <Huawei 2020 2nd Artificial Intelligence Innovation Competition>