AKB-48: A Real-World Articulated Object Knowledge Base

Author:

Liu Liu1,Xu Wenqiang1,Fu Haoyuan1,Qian Sucheng1,Yu Qiaojun1,Han Yang1,Lu Cewu1

Affiliation:

1. Shanghai Jiao Tong University

Funder

National Key R&D Program of China

Shanghai Municipal Science and Technology Major Project

SHEITC

Publisher

IEEE

Reference33 articles.

1. Visual identification of articulated object parts;vicky;ArXiv Preprint,2020

2. Deep part induction from articu-lated object pairs;yi;ACM Transactions on Graphics,2019

3. SAPIEN: A SimulAted Part-Based Interactive ENvironment

4. Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes

5. Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

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1. Hierarchical Understanding in Robotic Manipulation: A Knowledge-Based Framework;Actuators;2024-01-10

2. Interaction-Driven Active 3D Reconstruction with Object Interiors;ACM Transactions on Graphics;2023-12-05

3. OCSKB: An Object Component Sketch Knowledge Base for Fast 6D Pose Estimation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement Learning;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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