Rethinking on Multi-Stage Networks for Human Pose Estimation
Wenbo Li1,2 Zhicheng Wang1∗ Binyi Yin1 Qixiang Peng1 Yuming Du1,3 Tianzi Xiao1,4 Gang Yu1 Hongtao Lu2 Yichen Wei1 Jian Sun1 1Megvii Inc. (Face++) 2Shanghai Jiao Tong University 3Beihang University 4Beijing University of Posts and Telecommunications 2 Thanks: The first two authors contribute equally to this work. This work is done when Wenbo Li, Binyi Yin, Qixiang Peng, Yuming Du and Tianzi Xiao are interns at Megvii Research.
Abstract
Existing pose estimation approaches fall into two categories: single-stage and multi-stage methods. While multi-stage methods are seemingly more suited for the task, their performance in current practice is not as good as single-stage methods.
原文 arXiv:1901.00148;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1901.00148v4