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@article{bb67860,
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        JOURNAL = RS,
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@article{bb67861,
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Random fields and Graph Cut",
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@article{bb67862,
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        TITLE = "Explored Normalized Cut With Random Walk Refining Term for Image
Segmentation",
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        NUMBER = "2022",
        PAGES = "2893-2906",
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@article{bb67863,
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@article{bb67864,
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        TITLE = "TokenCut: Segmenting Objects in Images and Videos With
Self-Supervised Transformer and Normalized Cut",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/segment356cut1.html#TT65610"}

@inproceedings{bb67865,
        AUTHOR = "Wang, Y.T. and Shen, X. and Hu, S.X. and Yuan, Y. and Crowley, J.L. and Vaufreydaz, D.",
        TITLE = "Self-Supervised Transformers for Unsupervised Object Discovery using
Normalized Cut",
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        PAGES = "14523-14533",
        BIBSOURCE = "http://www.visionbib.com/bibliography/segment356cut1.html#TT65611"}

@inproceedings{bb67866,
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They Are Useful in Practice",
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@inproceedings{bb67867,
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Graph Cut Loss",
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@inproceedings{bb67868,
        AUTHOR = "Zheng, Z. and Oda, M. and Mori, K.",
        TITLE = "Graph Cuts Loss to Boost Model Accuracy and Generalizability for
Medical Image Segmentation",
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@inproceedings{bb67869,
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@inproceedings{bb67870,
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Objects with Ambiguous Boundaries",
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@inproceedings{bb67871,
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@inproceedings{bb67872,
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        TITLE = "InstanceCut: From Edges to Instances with MultiCut",
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@inproceedings{bb67873,
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@inproceedings{bb67874,
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        TITLE = "Development Of Image Selection Method Using Graph Cuts",
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@inproceedings{bb67875,
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        TITLE = "Sea-land segmentation via hierarchical region merging and edge
directed graph cut",
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@inproceedings{bb67876,
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@inproceedings{bb67877,
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@inproceedings{bb67878,
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Object Proposals",
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Normalized Cuts",
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@inproceedings{bb67880,
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Graph Cuts",
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