Papers Marine Animal Segmentation
“Marine Animal Segmentation” 태그가 달린 논문 4편 · 필터 해제
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
Image segmentation plays an important role in vision understanding. Recently, the emerging vision foundation models continuously achieved superior performance on various tasks. Following such success, in this paper, we p…
Image SegmentationMarine Animal SegmentationMedical Image SegmentationMirror Detection+4MAS-SAM: Segment Any Marine Animal with Aggregated Features
Recently, Segment Anything Model (SAM) shows exceptional performance in generating high-quality object masks and achieving zero-shot image segmentation. However, as a versatile vision model, SAM is primarily trained with…
DecoderImage SegmentationMarine Animal SegmentationSegmentation+1Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
As an important pillar of underwater intelligence, Marine Animal Segmentation (MAS) involves segmenting animals within marine environments. Previous methods don't excel in extracting long-range contextual features and ov…
Marine Animal SegmentationMASNet: A Robust Deep Marine Animal Segmentation Network
Marine animal studies are of great importance to human beings and instrumental to many research areas. How to identify such animals through image processing is a challenging task that leads to marine animal segmentation …
Data AugmentationImage SegmentationMarine Animal SegmentationSegmentation+1