3 papers
cs.CV2026
DCSNet: Multiscale Feature Aggregation for Small Medical Object Segmentation with Detection-guided Hierarchical Cropping
Shanfeng Zhang, Bo Gou, Yue Cao +3
Small object segmentation in medical imaging is primarily hindered by class imbalance and inherent boundary complexity. Consequently, conventional global networks frequently fail t…
cs.CV2025
Enhancing Feature Fusion of U-like Networks with Dynamic Skip Connections
Yue Cao, Quansong He, Kaishen Wang +3
U-like networks have become fundamental frameworks in medical image segmentation through skip connections that bridge high-level semantics and low-level spatial details. Despite th…
cs.CV2025
HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models
Le Yu, Kaishen Wang, Jianlong Xiong +3
Though Large Vision-Language Models (LVLMs) have achieved remarkable performance across various tasks, they are still prone to hallucinations-generating outputs that are textually…