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BioSAM: Generating SAM Prompts From Superpixel Graph for Biological Instance Segmentation
IEEE journal of biomedical and health informaticsProposal-free instance segmentation methods have significantly advanced the field of biological image analysis. Recently, the Segment Anything Model (SAM) has shown an extraordinary ability to handle challenging instance boundaries.
Miao-Miao Cai +3 more
semanticscholar +1 more source
Dynamic Random Walk for Superpixel Segmentation
2019In this paper, we present a novel Random Walk model called Dynamic Random Walk (DRW) for superpixel segmentation. The proposed DRW adds a new type of node called dynamic node to enrich the features of labels and reduce redundant calculation. By greedily optimizing the Weighted Random Walk Entropy (WRWE), our DRW can consider the features of both seed ...
Lei Zhu 0012 +3 more
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Weakly-Supervised Semantic Segmentation With Superpixel Guided Local and Global Consistency
Pattern Recognition, 2022Huimin Ma, Xi Li, Tianyu Hu
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A Survey on the Utilization of Superpixel Image for Clustering Based Image Segmentation
Multimedia Tools and Applications, 2023Krishna Gopal Dhal, Buddhadev Sasmal
exaly
Superpixel Segmentation With Edge Guided Local-Global Attention Network
IEEE transactions on circuits and systems for video technology (Print)Ming-Zhu Xu +6 more
semanticscholar +1 more source
Fuzzy Superpixel-based Image Segmentation
Pattern Recognition, 2023Tsz-Ching Ng +3 more
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Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
IEEE Transactions on Industrial Informatics, 2021Sam Kwong, Wenhui Wu, Yuheng Jia
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Cluster-Based Fine-to-Coarse Superpixel Segmentation
Engineering Applications of Artificial Intelligence, 2021Su Xu
exaly
Fast Pixel-Superpixel Region Merging for SAR Image Segmentation
IEEE Transactions on Geoscience and Remote Sensing, 2021Dongdong Guan, Wei Zhang, Fan Zhang
exaly