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VEnvision3D: A Synthetic Perception Dataset for 3D Multi-Task Model Research
March 1, 2024, 5:47 a.m. | Jiahao Zhou, Chen Long, Yue Xie, Jialiang Wang, Boheng Li, Haiping Wang, Zhe Chen, Zhen Dong
cs.CV updates on arXiv.org arxiv.org
Abstract: Developing a unified multi-task foundation model has become a critical challenge in computer vision research. In the current field of 3D computer vision, most datasets solely focus on a relatively limited set of tasks, which complicates the concurrent training requirements of various downstream tasks. This makes the training of multi-objective networks difficult to proceed with, which further hinders the development of foundation models in the 3D vision field. In this paper, we introduce VEnvision3D, a …
abstract arxiv become challenge computer computer vision cs.cv current dataset datasets focus foundation foundation model perception requirements research set synthetic tasks training type vision vision research
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