Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction
Author:
Affiliation:
1. School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China
2. College of Control Science and Engineering, Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10254630/10265177.pdf?arnumber=10265177
Reference44 articles.
1. Deep Image Retrieval: Learning Global Representations for Image Search
2. Single-Stage 6D Object Pose Estimation
3. Model globally, match locally: Efficient and robust 3D object recognition
4. SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
5. Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes;hinterstoisser;Proc 11th Asian Conf Comput Vis,0
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