Feature boosting network for 3D pose estimation

• Main Authors: Liu, Jun, Ding, Henghui, Shahroudy, Amir, Duan, Ling-Yu, Jiang, Xudong, Wang, Gang, Kot, Alex C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; 3D Pose Estimation; Convolutional LSTM
• Online Access: https://hdl.handle.net/10356/154881
• Institution: Nanyang Technological University

In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutional layers are boosted with a new long short-term dependence-aware (LSTD) module, which enables the intermediate convoluti...