March 29, 2024, 4:45 a.m. | Zhenyu Wang, Yali Li, Taichi Liu, Hengshuang Zhao, Shengjin Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19580v1 Announce Type: new
Abstract: In the current state of 3D object detection research, the severe scarcity of annotated 3D data, substantial disparities across different data modalities, and the absence of a unified architecture, have impeded the progress towards the goal of universality. In this paper, we propose \textbf{OV-Uni3DETR}, a unified open-vocabulary 3D detector via cycle-modality propagation. Compared with existing 3D detectors, OV-Uni3DETR offers distinct advantages: 1) Open-vocabulary 3D detection: During training, it leverages various accessible data, especially extensive 2D …

3d object 3d object detection abstract architecture arxiv cs.cv current data detection object paper progress propagation research state type unified architecture via

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