Relation-Based Associative Joint Location for Human Pose Estimation in Videos. (arXiv:2107.03591v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2107.03591

Video-based human pose estimation (VHPE) is a vital yet challenging task.
While deep learning methods have made significant progress for the VHPE, most
approaches to this task implicitly model the long-range interaction between
joints by enlarging the receptive field of the convolution. Unlike prior
methods, we design a lightweight and plug-and-play joint relation extractor
(JRE) to model the associative relationship between joints explicitly and
automatically. The JRE takes the pseudo heatmaps of joints as input and
calculates the similarity between …

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