Projects sharing features with CAiDA

python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm

Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

(ICASSP'21/CVPR'21) Wasserstein Barycenter Transport

Implementation of Graphical Modeling for Multi-Source Domain Adaptation (TPAMI).

in NIPS 2021

Demo code for the MDAN paper.

A pytorch implementation of DRT. If you use this code in your research please consider citing title={Dynamic Transfer for Multi-Source Domain Adaptation}, author={Li, Yunsheng and Yuan, Lu and Chen, Yinpeng and Wang, Pei and Vasconcelos, Nuno}, journal={arXiv preprint arXiv:2103.10583},…

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

ReID SFDA - Dual-Region Augmentation (Foreground Noise Background Shuffle) for robust person re-identification (ReID) and source-free domain adaptation (SFDA).

Shuffle PatchMix (SPM) for Source-Free Domain Adaptation (ICIP 2025); patch-shuffle augmentation confidence-margin pseudo-labels. New SOTA on PACS (+7.3%), strong results on DomainNet-126 and VisDA-C.

This repository provides the official implementation for "Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation". (IJCAI2021)

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

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

Domain Adaptation with Adversarial Training on Penultimate Activations (AAAI 2023)

Source free Single and Multi target Unsupervised Domain Adaptation

ICASSP 2024 "Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer"

Repository for ECCV 2022 paper "Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition"

Official code of IterLNL