There are 7 repositories under domain-generalization topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Corruption and Perturbation Robustness (ICLR 2019)
Collection of awesome test-time (domain/batch/instance) adaptation methods
A Harder ImageNet Test Set (CVPR 2021)
Awesome things about domain generalization, including papers, code, etc.
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
GMoE could be the next backbone model for many kinds of generalization task.
Domain Generalization with MixStyle (ICLR'21)
Code for Transfer Learning book--《迁移学习导论》配套代码
ImageNet-R(endition) and DeepAugment (ICCV 2021)
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
[TPAMI] Searching prompt modules for parameter-efficient transfer learning.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
[AAAI 2020] Pytorch codes for Regularized Fine-grained Meta Face Anti-spoofing
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
A curated list of papers and resources about the distribution shift in machine learning.
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
[CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
[CVPR 2019] Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainable development.
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
[TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".