BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

Author:

Sundermeyer Martin1,Hodaň Tomáš2,Labbé Yann3,Wang Gu4,Brachmann Eric5,Drost Bertram6,Rother Carsten7,Matas Jiří8

Affiliation:

1. Google

2. Reality Labs at Meta

3. INRIA Paris

4. Tsinghua University

5. Niantic

6. MVTec

7. Heidelberg University

8. Czech Technical University in Prague

Publisher

IEEE

Reference57 articles.

1. Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes;hinterstoisser;ACCV 2012,0

2. DPOD: 6D Pose Object Detector and Refiner

3. Mask R-CNN

4. iShape: A first step towards irregular shape instance segmentation;yang,2021

5. Pose estimation of specific rigid objects;hoda?;PhD thesis,2021

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1. Open-Vocabulary Category-Level Object Pose and Size Estimation;IEEE Robotics and Automation Letters;2024-09

2. Monocular Estimation of Connector Orientation: Combining Deformable Linear Object Priors and Smooth Angle Classification;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

3. Prior-information-guided corresponding point regression network for 6D pose estimation;Computers & Graphics;2024-06

4. Realistic Data Generation for 6D Pose Estimation of Surgical Instruments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. 2D-3D Object Shape Alignment for Camera-Object Pose Compensation in Object-Visual SLAM;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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