LeoXinhaoLee / Imbalanced-Source-free-Domain-AdaptationLinks
Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".
☆21Updated 3 years ago
Alternatives and similar repositories for Imbalanced-Source-free-Domain-Adaptation
Users that are interested in Imbalanced-Source-free-Domain-Adaptation are comparing it to the libraries listed below
Sorting:
- Unsupervised Domain Adaptation without Source Data by Casting a BAIT☆24Updated 2 years ago
- 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"☆118Updated 2 years ago
- ☆24Updated 2 years ago
- Code for CAiDA☆24Updated 3 years ago
- code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"☆58Updated 2 years ago
- ☆49Updated last year
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆105Updated 3 years ago
- Published in IEEE Transactions on Artificial Intelligence☆56Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"☆40Updated 2 years ago
- ☆46Updated 3 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Updated 3 years ago
- Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".☆20Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)☆59Updated 5 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆70Updated 5 months ago
- 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 our paper localized adversarial domain generalization☆15Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆80Updated last year
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆44Updated 5 years ago
- ☆19Updated 3 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆72Updated 3 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆23Updated 3 years ago
- Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"☆106Updated 3 years ago
- ☆67Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago