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2024 Diving Into Underwater Segment Anything Model Guided Underwater Salient by yapehih347 is a document available to read on EtoBox.

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The document presents the USIS10K dataset, the first large-scale underwater salient instance segmentation dataset containing 10,632 images with pixel-level annotations across seven categories. It introduces the USIS-SAM model, which leverages the Segment Anything Model (SAM) to enhance segmentation accuracy in complex underwater environments by incorporating underwater-specific visual prompts. Extensive experiments demonstrate that USIS-SAM outperforms existing methods, addressing the challenges of low segm

Author

yapehih347

Language

EN