Feb. 13, 2024, 5:48 a.m. | Zhongpai Gao Huayi Zhou Abhishek Sharma Meng Zheng Benjamin Planche Terrence Chen Ziyan Wu

cs.CV updates on arXiv.org arxiv.org

The detection of human parts (e.g., hands, face) and their correct association with individuals is an essential task, e.g., for ubiquitous human-machine interfaces and action recognition. Traditional methods often employ multi-stage processes, rely on cumbersome anchor-based systems, or do not scale well to larger part sets. This paper presents PBADet, a novel one-stage, anchor-free approach for part-body association detection. Building upon the anchor-free object representation across multi-scale feature maps, we introduce a singular part-to-body center offset that effectively encapsulates the …

action recognition anchor association cs.ai cs.cv detection face free human interfaces machine novel paper part processes recognition scale stage systems

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