JoonHo-Jang / UADALLinks
☆25Updated 2 years ago
Alternatives and similar repositories for UADAL
Users that are interested in UADAL are comparing it to the libraries listed below
Sorting:
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆25Updated last year
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆34Updated 2 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 3 years ago
- Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".☆20Updated 2 years ago
- code for our paper localized adversarial domain generalization☆15Updated 3 years ago
- Code for CAiDA☆24Updated 3 years ago
- ☆24Updated 2 years ago
- ☆22Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆98Updated 2 years ago
- Semi-Supervised Domain Generalization☆22Updated 11 months ago
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 10 months ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆13Updated 4 years ago
- code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation☆20Updated 3 years ago
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆18Updated 7 months ago
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆35Updated last year
- Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)☆60Updated 5 years ago
- Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".☆21Updated 3 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆31Updated 2 months ago
- ICCV 2023☆11Updated last year
- Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)☆54Updated 4 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)☆17Updated last year
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆119Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 7 months ago
- [CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"☆34Updated 2 months ago
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆18Updated 2 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago