134 citations · 140 across the 4 of their papers we have counts for
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cs.CV2023★ 5 cited
RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network
Xinyang Huang, Chuang Zhu, Wenkai Chen
Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic segmentation in previously unseen domains with a limited number of annotated samples. Although existing CD-FSS…
cs.CV2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang, Chuang Zhu, Wenkai Chen
In semi-supervised domain adaptation (SSDA), a few labeled target samples of each class help the model to transfer knowledge representation from the fully labeled source domain to…
cs.CV2022★ 1 cited
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
Wenkai Chen, Chuang Zhu, Yi Chen +2
Imperfect labels are ubiquitous in real-world datasets and seriously harm the model performance. Several recent effective methods for handling noisy labels have two key steps: 1) d…