code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
-
Updated
May 23, 2023 - Python
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".
Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023
[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019
Unofficial implementation of "AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation"
Code for "Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning"
Code for Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias [CVPR 2024]
Add a description, image, and links to the semi-supervised-domain-adaptation topic page so that developers can more easily learn about it.
To associate your repository with the semi-supervised-domain-adaptation topic, visit your repo's landing page and select "manage topics."