5 papers · 1 filter
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…
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…
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…
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
Chen-Bin Feng, Qi Lai, Kangdao Liu +2
In semantic segmentation, accurate prediction masks are crucial for downstream tasks such as medical image analysis and image editing. Due to the lack of annotated data, few-shot s…
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information
Qi Lai, ChiMan Vong
Weakly supervised object detection (WSOD) aims at learning precise object detectors with only image-level tags. In spite of intensive research on deep learning (DL) approaches over…