2 papers
cs.CV2026
OFD-Net: Teacher-Free Reliable Semi-supervised Medical Image Segmentation with Orthogonal Feature Disentanglement Net of Foreground-Background
Shao-feng Jiang, Zhe-yang Jing, Qin Lu +4
Semi-supervised learning (SSL) is an effective solution for medical image segmentation with limited annotations. Existing SSL methods mainly rely on pseudo-labels generated by teac…
cs.CV2024
Real-time Monocular Depth Estimation on Embedded Systems
Cheng Feng, Congxuan Zhang, Zhen Chen +2
Depth sensing is of paramount importance for unmanned aerial and autonomous vehicles. Nonetheless, contemporary monocular depth estimation methods employing complex deep neural net…