3 papers
cs.CV2025
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images
Dongdong Meng, Sheng Li, Hao Wu +4
Accurate automatic medical image segmentation relies on high-quality, dense annotations, which are costly and time-consuming. Weakly supervised learning provides a more efficient a…
cs.CV2025
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
Dongdong Meng, Sheng Li, Hao Wu +2
Semi-supervised learning addresses the issue of limited annotations in medical images effectively, but its performance is often inadequate for complex backgrounds and challenging t…
eess.AS2023
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement
Zili Qi, Xinhui Hu, Wangjin Zhou +4
Recently, researchers have shown an increasing interest in automatically predicting the subjective evaluation for speech synthesis systems. This prediction is a challenging task, e…