6DoF Object Pose Estimation via Differentiable Proxy Voting Loss

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6DoF Object Pose Estimation via Differentiable Proxy Voting Loss

10 February 2020

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Papers citing "6DoF Object Pose Estimation via Differentiable Proxy Voting Loss"

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Title
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey Jian Liu Wei Sun Hui Yang Zhiwen Zeng Chongpei Liu Jin Zheng Xingyu Liu Hossein Rahmani N. Sebe Ajmal Mian 129 19 0 13 May 2024
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework Ming Wang Beibei Lin Xianda Guo Lincheng Li Zhenguo Zhu Jiande Sun Shunli Zhang Xin Yu CVBM 93 15 0 08 Mar 2022
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation Guangyuan Zhou Huiqun Wang Jiaxin Chen Di Huang 3DPC 3DV 80 36 0 23 Aug 2021
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview Zhaoxin Fan Yazhi Zhu Yulin He Qi Sun Hongyan Liu Jun He 132 84 0 29 May 2021
REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination Weitong Hua Zhongxiang Zhou Jun Wu Huang Huang Yue Wang R. Xiong 3DPC 74 36 0 24 Oct 2020
D2D: Keypoint Extraction with Describe to Detect Approach Yurun Tian Vassileios Balntas Tony Ng Axel Barroso Laguna Y. Demiris K. Mikolajczyk 118 60 0 27 May 2020