3 papers
cs.CV2025
MSD-KMamba: Bidirectional Spatial-Aware Multi-Modal 3D Brain Segmentation via Multi-scale Self-Distilled Fusion Strategy
Dayu Tan, Ziwei Zhang, Yansan Su +4
Numerous CNN-Transformer hybrid models rely on high-complexity global attention mechanisms to capture long-range dependencies, which introduces non-linear computational complexity…
cs.CV2025
HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Dayu Tan, Zhenpeng Xu, Yansen Su +3
Both local details and global context are crucial in medical image segmentation, and effectively integrating them is essential for achieving high accuracy. However, existing mainst…
cs.CV2023
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
Fulin Gao, Weimin Zhong, Zhixing Cao +2
A desirable open world recognition (OWR) system requires performing three tasks: (1) Open set recognition (OSR), i.e., classifying the known (classes seen during training) and reje…