RFFCE: Residual Feature Fusion and Confidence Evaluation Network for 6DoF Pose Estimation
Author:
Affiliation:
1. Research Institute of Interdisciplinary Innovation,Research Center for Intelligent Robotics, Zhejiang Lab,Hangzhou,China,311100
2. Dalhousie University,Department of Electrical and Computer Engineering,Halifax,NS,Canada,B3H 4R2
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160448.pdf?arnumber=10160448
Reference57 articles.
1. 6D Pose Estimation of Objects: Recent Technologies and Challenges
2. HybridPose: 6D Object Pose Estimation Under Hybrid Representations
3. FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
4. The YCB object and Model set: Towards common benchmarks for manipulation research
5. A Novel Algorithm of Image Gaussian Noise Filtering based on PCNN Time Matrix
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