3 papers
cs.CV2025
A Lightweight Multi-Scale Attention Framework for Real-Time Spinal Endoscopic Instance Segmentation
Qi Lai, JunYan Li, Qiang Cai +3
Real-time instance segmentation for spinal endoscopy is important for identifying and protecting critical anatomy during surgery, but it is difficult because of the narrow field of…
cs.CV2025
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation
Jing Huang, Yongkang Zhao, Yuhan Li +3
The U-shaped encoder-decoder architecture with skip connections has become a prevailing paradigm in medical image segmentation due to its simplicity and effectiveness. While many r…
cs.CV2024
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
Qi Lai, Chi-Man Vong
Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. Despite intensive research on deep learning approaches ove…