JeremyCJM / CCSTLinks
Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
☆31Updated last year
Alternatives and similar repositories for CCST
Users that are interested in CCST are comparing it to the libraries listed below
Sorting:
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Updated 2 years ago
- [CVPR 2023] Federated Domain Generalization with Generalization Adjustment☆48Updated 2 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆101Updated 3 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆30Updated last year
- [CVPR2023] Federated Incremental Semantic Segmentation☆37Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆77Updated 2 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆94Updated 3 years ago
- This repo provides a demo for the ICML 2023 paper "Moderately Distributional Exploration for Domain Generalization" on the PACS dataset.☆15Updated 2 years ago
- Domain Generalization via Gradient Surgery☆50Updated 3 years ago
- ☆27Updated 2 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 5 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆110Updated 9 months ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆103Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- Continual Model Generalization for Unseen Domains☆45Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- ☆10Updated last year
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆82Updated last year
- ☆23Updated last year
- ☆22Updated last year
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆23Updated 4 years ago
- ☆40Updated 4 years ago
- ☆41Updated 2 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆13Updated 2 months ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- ☆49Updated last year