Kai-Jie Tong

A visual Mamba-based global-local framework for instance segmentation of highly overlapping multi-scale bubbles in dense two-phase flows

A global-local fusion segmentation model named global-local bubble network is designed, which uses the visual state space encoder as the backbone for feature extraction and establishes long-range pixel dependencies, significantly enhancing context inference capabilities under dense occlusion.