5 citations · 5 across the 5 of their papers we have counts for
Showing 2025 · cs.CVShow all
3 papers · 2 filters
cs.CV2025
Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Dataset
Chuhong Wang, Hua Li, Chongyi Li +3
With the development of underwater exploration and marine protection, underwater vision tasks are widespread. Due to the degraded underwater environment, characterized by color dis…
cs.CV2025
Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation
Peixian Zhuang, Yijian Wang, Zhenqi Fu +3
Underwater Monocular Depth Estimation (UMDE) is a critical task that aims to estimate high-precision depth maps from underwater degraded images caused by light absorption and scatt…
cs.CV2025
Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentation
Hua Li, Shijie Lian, Zhiyuan Li +5
With recent breakthroughs in large-scale modeling, the Segment Anything Model (SAM) has demonstrated significant potential in a variety of visual applications. However, due to the…