val-iisc / MixupDA
[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation
☆10Updated last year
Alternatives and similar repositories for MixupDA:
Users that are interested in MixupDA are comparing it to the libraries listed below
- code for our paper localized adversarial domain generalization☆14Updated 2 years ago
- ☆23Updated 2 years ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆49Updated 2 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆24Updated last year
- Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".☆21Updated 3 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆79Updated last year
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆75Updated 2 years ago
- ☆34Updated last year
- Code for CAiDA☆22Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- Unsupervised Domain Adaptation without Source Data by Casting a BAIT☆24Updated 2 years ago
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"☆33Updated last month
- The official implementation for DomainDrop (ICCV 2023).☆48Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- ☆24Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆54Updated 3 years ago
- NN 2023☆21Updated 2 years ago
- ICCV 2023☆11Updated 9 months 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)☆93Updated last year
- code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation☆20Updated 2 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆19Updated last month
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆34Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆68Updated 3 months ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆57Updated 2 years ago
- ☆44Updated 3 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆104Updated 2 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆51Updated 2 years ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆71Updated last year