ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression
Framework

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

3 April 2022

Shifeng Chen

Papers citing "ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework"

6 / 6 papers shown

Title
CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image Jingshun Huang Haitao Lin Tianyu Wang Yanwei Fu Xiangyang Xue Y. X. Zhu 3DPC 39 0 0 15 Apr 2025
GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation Zinqin Huang Gu Wang Chenyangguang Zhang Ruida Zhang Xiu Li Xiangyang Ji 46 0 0 19 Mar 2025
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 Saeed Mian 41 15 0 13 May 2024
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset Zixun Huang Keling Yao Seth Z. Zhao Chuanyu Pan Chenfeng Xu Kathy Zhuang Tianjian Xu Weiyu Feng Allen Y. Yang 21 0 0 24 Sep 2023
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 27 35 0 24 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016