code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
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Updated
Mar 29, 2022 - Python
code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
[ECCV22] Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
[ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation"
Code for "Few-Shot Adaptation of Pre-Trained Networks for Domain Shift" (IJCAI 2022)
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Code for our paper 'Contrast and Clustering: Learning Nearest Pair Representations for Source-free Domain Adaptation'
[KDD 2023] Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940
[ICCV23] Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"
[CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"
[ICML23] On Pitfalls of Test-Time Adaptation
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
Awesome Active Domain Adaptation for Medical Image Analysis
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