Multibranch Adversarial Regression for Domain Adaptative Hand Pose Estimation
Author:
Affiliation:
1. School of Rail Transportation, Soochow University, Suzhou, China
2. School of Computer Science, Faculty of Engineering, The University of Sydney, Darlington, NSW, Australia
3. JD Explore Academy, Beijing, China
Funder
National Natural Science Foundation of China
Six Talent Peaks Project of Jiangsu Province, China
ARC Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/9875133/09732951.pdf?arnumber=9732951
Reference56 articles.
1. Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
2. DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
3. Graph-Based CNNs With Self-Supervised Module for 3D Hand Pose Estimation From Monocular RGB
4. Latent Distribution-Based 3D Hand Pose Estimation From Monocular RGB Images
5. Hand gesture recognition using shape and texture evidences in complex background
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. SMR: Spatial-Guided Model-Based Regression for 3D Hand Pose and Mesh Reconstruction;IEEE Transactions on Circuits and Systems for Video Technology;2024-01
2. Domain Adaptive Hand Pose Estimation Based on Self-Looping Adversarial Training Strategy;Sensors;2022-11-15
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