VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

19 August 2023

Papers citing "VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations"

8 / 8 papers shown

Title
Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose Estimation X. Zhang Lu Zou Tao Lu Yuan Yao Zhangjin Huang Guoping Wang 3DPC 28 0 0 21 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
Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation Huan Ren Wenfei Yang Xiang Liu Shifeng Zhang Tianzhu Zhang 64 2 0 18 Mar 2025
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries Christiaan G. A. Viviers Lena Filatova Maurice Termeer Peter H. N. de With Fons van der Sommen 25 7 0 19 May 2024
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 31 15 0 13 May 2024
Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker Jingtao Sun Yaonan Wang Danwei Wang 18 1 0 09 Jan 2024
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 163 21,643 0 09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016