134 citations · 140 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
Chuang Zhu, Wenkai Chen, Ting Peng +2
Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis. However, the noisy label…