{"total":20,"rows":[{"id":"2303.15361","title":"A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts","created":"2023-03-27","cited_by_count":359,"area":null},{"id":"2302.11803","title":"A Comprehensive Survey on Source-free Domain Adaptation","created":"2023-02-23","cited_by_count":104,"area":null},{"id":"2301.00265","title":"Source-Free Unsupervised Domain Adaptation: A Survey","created":"2022-12-31","cited_by_count":80,"area":null},{"id":"2201.04439","title":"Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases","created":"2022-01-12","cited_by_count":72,"area":null},{"id":"2207.10015","title":"Generative Domain Adaptation for Face Anti-Spoofing","created":"2022-07-20","cited_by_count":33,"area":null},{"id":"2101.02839","title":"Unsupervised Domain Adaptation of Black-Box Source Models","created":"2021-01-08","cited_by_count":32,"area":null},{"id":"2104.10602","title":"Visualizing Adapted Knowledge in Domain Transfer","created":"2021-04-20","cited_by_count":32,"area":null},{"id":"2110.06484","title":"Domain Adaptive Semantic Segmentation without Source Data","created":"2021-10-13","cited_by_count":30,"area":null},{"id":"2106.06326","title":"TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation","created":"2021-06-11","cited_by_count":17,"area":null},{"id":"2302.06658","title":"In Search for a Generalizable Method for Source Free Domain Adaptation","created":"2023-02-13","cited_by_count":12,"area":null},{"id":"2104.13817","title":"Sign Segmentation with Changepoint-Modulated Pseudo-Labelling","created":"2021-04-28","cited_by_count":10,"area":null},{"id":"2404.19113","title":"Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology","created":"2024-04-29","cited_by_count":9,"area":null},{"id":"2503.20771","title":"Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data","created":"2025-03-26","cited_by_count":9,"area":null},{"id":"2508.09202","title":"Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method","created":"2025-08-08","cited_by_count":8,"area":null},{"id":"2103.15467","title":"Category-Adaptive Domain Adaptation for Semantic Segmentation","created":"2021-03-29","cited_by_count":2,"area":null},{"id":"2405.16437","title":"Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation","created":"2024-05-26","cited_by_count":2,"area":null},{"id":"2402.16090","title":"Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis","created":"2024-02-25","cited_by_count":1,"area":null},{"id":"2505.23651","title":"Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2307.00893","title":"Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation","created":"2023-07-03","cited_by_count":0,"area":null},{"id":"2409.00741","title":"Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation","created":"2024-09-01","cited_by_count":0,"area":null}],"next_cursor":null}