June 10, 2024, 4:48 a.m. | Wei Qian, Qi Li, Kun Li, Xinke Wang, Xiao Sun, Meng Wang, Dan Guo

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.04942v1 Announce Type: new
Abstract: This paper briefly introduces the solutions developed by our team, HFUT-VUT, for Track 1 of self-supervised heart rate measurement in the 3rd Vision-based Remote Physiological Signal Sensing (RePSS) Challenge hosted at IJCAI 2024. The goal is to develop a self-supervised learning algorithm for heart rate (HR) estimation using unlabeled facial videos. To tackle this task, we present two self-supervised HR estimation solutions that integrate spatial-temporal modeling and contrastive learning, respectively. Specifically, we first propose a …

abstract algorithm arxiv challenge cs.cv heart measurement modeling paper rate self-supervised learning sensing signal solutions spatial supervised learning team temporal type vision

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