8 citations · 9 across the 3 of their papers we have counts for
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cs.CV2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
Xinyang Huang, Chuang Zhu, Ruiying Ren +2
Semi-supervised domain adaptation (SSDA) has been extensively researched due to its ability to improve classification performance and generalization ability of models by using a sm…
cs.CV2024★ 8 cited
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
Xinyang Huang, Chuang Zhu, Kebin Liu +2
Existing few-shot segmentation (FSS) only considers learning support-query correlation and segmenting unseen categories under the precise pixel masks. However, the cost of a large…