SE-UF-PVNet: A Structure Enhanced Pixel-wise Union vector Fields Voting Network for 6DoF Pose Estimation
Author:
Affiliation:
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China
2. CASIC Research Institute of Intelligent Decision Engineering, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603781.3603859
Reference44 articles.
1. SilhoNet: An RGB Method for 6D Object Pose Estimation
2. Learning 6D Object Pose Estimation Using 3D Object Coordinates
3. Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image
4. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arxiv:1312.6203 [cs.LG] Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arxiv:1312.6203 [cs.LG]
5. Yannick Bukschat and Marcus Vetter. 2020. EfficientPose: An efficient accurate and scalable end-to-end 6D multi object pose estimation approach. arxiv:2011.04307 [cs.CV] Yannick Bukschat and Marcus Vetter. 2020. EfficientPose: An efficient accurate and scalable end-to-end 6D multi object pose estimation approach. arxiv:2011.04307 [cs.CV]
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