Lightweight Stacked Hourglass Network for Human Pose Estimation

Lightweight Stacked Hourglass Network for Human Pose Estimation

Human pose estimation is a problem that continues to be one of the greatest challenges in the field of computer vision. While the stacked structure of an hourglass network has enabled substantial progress in human pose estimation and key-point detection areas, it is largely used as a backbone networ...

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Bibliographic Details
Main Authors:	Seung-Taek Kim, Hyo Jong Lee
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Applied Sciences
Subjects:	pose estimation stacked hourglass network deep learning convolutional receptive field
Online Access:	https://www.mdpi.com/2076-3417/10/18/6497

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