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Whole-Body Human Pose Estimation in the Wild
[article]
2020
arXiv
pre-print
This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet. As existing datasets do not have whole-body annotations, previous methods have to assemble different deep models trained independently on different datasets of the human face, hand, and body, struggling with dataset biases and large model complexity. To fill in this blank, we introduce COCO-WholeBody which extends COCO
arXiv:2007.11858v1
fatcat:rwjd2cwbovhgvd5ifz3cqw2ihy