AI RESEARCH
USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation
arXiv CS.CV
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ArXi:2603.13961v1 Announce Type: new Underwater salient instance segmentation (USIS) is crucial for marine robotic systems, as it enables both underwater salient object detection and instance-level mask prediction for visual scene understanding. Compared with its terrestrial counterpart, USIS is challenging due to the underwater image degradation. To address this issue, this paper proposes USIS-PGM, a single-stage framework for