Web: http://arxiv.org/abs/2209.09407

Sept. 21, 2022, 1:12 a.m. | Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu

cs.CV updates on arXiv.org arxiv.org

Open-world object detection, as a more general and challenging goal, aims to
recognize and localize objects described by arbitrary category names. The
recent work GLIP formulates this problem as a grounding problem by
concatenating all category names of detection datasets into sentences, which
leads to inefficient interaction between category names. This paper presents
DetCLIP, a paralleled visual-concept pre-training method for open-world
detection by resorting to knowledge enrichment from a designed concept
dictionary. To achieve better learning efficiency, we propose a …

arxiv concept detection dictionary pre-training training

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