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Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

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Institution:控制科学与工程学院

Title of Paper:Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Journal:41st International Conference on Machine Learning, ICML 2024

First Author:Lian, Shijie

Document Code:1843560876745003009

Volume:235

Page Number:29545-29559

Number of Words:100

Translation or Not:No

Date of Publication:2024-01

Release Time:2025-05-26

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