Albert0147 / AaD_SFDALinks
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
☆73Updated 7 months ago
Alternatives and similar repositories for AaD_SFDA
Users that are interested in AaD_SFDA are comparing it to the libraries listed below
Sorting:
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆81Updated last year
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- ☆49Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆50Updated 3 years ago
- ☆24Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 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
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆120Updated 2 years ago
- ☆34Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆106Updated 3 years ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- NN 2023☆21Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆101Updated 3 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆100Updated 3 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆102Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- [ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free D…☆32Updated 2 years ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 4 months ago
- Code for CAiDA☆24Updated 3 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated last year
- ☆59Updated 2 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"☆22Updated 3 years ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆112Updated last year
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆65Updated 2 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆35Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆51Updated last year