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        TITLE = "ODIN: A Single Model for 2D and 3D Segmentation",
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@inproceedings{bb94901,
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        TITLE = "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation
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        YEAR = "2024",
        PAGES = "4060-4069",
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@inproceedings{bb94902,
        AUTHOR = "Yin, J. and Shen, J.B. and Chen, R. and Li, W. and Yang, R.G. and Frossard, P. and Wang, W.G.",
        TITLE = "IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D
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@inproceedings{bb94903,
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        TITLE = "HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature
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        BOOKTITLE = CVPR24,
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@inproceedings{bb94904,
        AUTHOR = "Zhang, Z.K. and Ding, J. and Jiang, L. and Dai, D.X. and Xia, G.S.",
        TITLE = "FreePoint: Unsupervised Point Cloud Instance Segmentation",
        BOOKTITLE = CVPR24,
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@inproceedings{bb94905,
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        TITLE = "AnyStar: Domain randomized universal star-convex 3D instance
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@inproceedings{bb94906,
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        TITLE = "Top-Down Beats Bottom-Up in 3D Instance Segmentation",
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@inproceedings{bb94907,
        AUTHOR = "Yu, Q. and Du, H.M. and Liu, C. and Yu, X.",
        TITLE = "When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation
with Weak-and-Noisy Supervision",
        BOOKTITLE = WACV24,
        YEAR = "2024",
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@inproceedings{bb94908,
        AUTHOR = "Ngo, T.D. and Hua, B.S. and Nguyen, K.",
        TITLE = "ISBNet: a 3D Point Cloud Instance Segmentation Network with
Instance-aware Sampling and Box-aware Dynamic Convolution",
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@inproceedings{bb94909,
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        TITLE = "Weakly-supervised Point Cloud Instance Segmentation with Geometric
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@inproceedings{bb94910,
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@inproceedings{bb94911,
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@inproceedings{bb94912,
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        TITLE = "3D Instance Segmentation via Enhanced Spatial and Semantic
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@inproceedings{bb94913,
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        TITLE = "Divide and Conquer: 3D Point Cloud Instance Segmentation With
Point-Wise Binarization",
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@inproceedings{bb94914,
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@inproceedings{bb94915,
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@inproceedings{bb94929,
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