Collection of awesome test-time (domain/batch/instance) adaptation methods

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

A repository and benchmark for online test-time adaptation.

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

[ICML23] On Pitfalls of Test-Time Adaptation

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

Awesome Active Domain Adaptation for Medical Image Analysis

Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'

[CVPR' 22 ORAL] Source-Free Object Detection by Learning to Overlook Domain Style

Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"

(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals

[ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation"

[CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"

Unsupervised Domain Adaptation without Source Data by Casting a BAIT

[CVPR2024] Official implementation of SODA-SR.