Lightweight Architecture for Real-Time Hand Pose Estimation with Deep Supervision
The high demand for computational resources severely hinders the deployment of deep learning applications in resource-limited devices. In this work, we investigate the under-studied but practically important network efficiency problem and present a new, lightweight architecture for hand pose estimat...
Main Authors: | Yufei Wu, Xiaofei Ruan, Yu Zhang, Huang Zhou, Shengyu Du, Gang Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/4/585 |
Similar Items
-
Lightweight Stacked Hourglass Network for Human Pose Estimation
by: Seung-Taek Kim, et al.
Published: (2020-09-01) -
Animal Pose Estimation Algorithm Based on the Lightweight Stacked Hourglass Network
by: Wenwen Zhang, et al.
Published: (2023-01-01) -
Camera distance helps 3D hand pose estimated from a single RGB image
by: Yuan Cui, et al.
Published: (2023-05-01) -
Real-Time UAV Patrol Technology in Orchard Based on the Swin-T YOLOX Lightweight Model
by: Yubin Lan, et al.
Published: (2022-11-01) -
Improving Human Pose Estimation With Self-Attention Generative Adversarial Networks
by: Xiangyang Wang, et al.
Published: (2019-01-01)