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AquaSAM: Underwater Image Foreground Segmentation
[article]
2023
arXiv
pre-print
The Segment Anything Model (SAM) has revolutionized natural image segmentation, nevertheless, its performance on underwater images is still restricted. This work presents AquaSAM, the first attempt to extend the success of SAM on underwater images with the purpose of creating a versatile method for the segmentation of various underwater targets. To achieve this, we begin by classifying and extracting various labels automatically in SUIM dataset. Subsequently, we develop a straightforward
arXiv:2308.04218v1
fatcat:lh7w2vzu3ratplxdd3vkwhi6fy