virajprabhu / CLUE
PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
☆42Updated last year
Alternatives and similar repositories for CLUE:
Users that are interested in CLUE are comparing it to the libraries listed below
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆73Updated 2 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆103Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆31Updated last year
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆48Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆66Updated last month
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆67Updated 2 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆114Updated last year
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆24Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆78Updated 10 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- ☆58Updated last year
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆69Updated 9 months ago
- ☆18Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆62Updated 2 years ago
- ☆44Updated 3 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆33Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆95Updated 3 years ago
- ☆43Updated 3 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆70Updated 2 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated last month
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 2 years ago
- Unsupervised Domain Adaptation without Source Data by Casting a BAIT☆24Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆31Updated 4 months ago
- Benchmarks for semi-supervised domain generalization.☆68Updated 2 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".☆21Updated 3 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆97Updated 2 years ago