2 papers
cs.CV2025
LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
Shengdong Zhang, Fan Jia, Xiang Li +4
Few-shot semantic segmentation (FSS) methods have shown great promise in handling data-scarce scenarios, particularly in medical image segmentation tasks. However, most existing FS…
cs.CV2025
Open set label noise learning with robust sample selection and margin-guided module
Yuandi Zhao, Qianxi Xia, Yang Sun +3
In recent years, the remarkable success of deep neural networks (DNNs) in computer vision is largely due to large-scale, high-quality labeled datasets. Training directly on real-wo…