April 11, 2024, 4:45 a.m. | Mi Yan, Jiazhao Zhang, Yan Zhu, He Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2401.07745v2 Announce Type: replace
Abstract: Open-vocabulary 3D instance segmentation is cutting-edge for its ability to segment 3D instances without predefined categories. However, progress in 3D lags behind its 2D counterpart due to limited annotated 3D data. To address this, recent works first generate 2D open-vocabulary masks through 2D models and then merge them into 3D instances based on metrics calculated between two neighboring frames. In contrast to these local metrics, we propose a novel metric, view consensus rate, to enhance …

arxiv clustering consensus cs.cv graph instance segmentation type view

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