AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT-Reference-Cited by-同舟云学术

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AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT

Published:2024-05-13 Issue: Volume:2 Page:12397-12403
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Qin Fangbo¹,Hou Taogang²,Lin Shan³,Wang Kaiyuan³,Yip Michael C.³,Yu Shan¹

Affiliation:

1. Chinese Academy of Sciences,Institute of Automation,Beijing,China,100190

2. Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044

3. University of California,Department of Electrical and Computer Engineering,San Diego, La Jolla,CA,USA,92093

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610601.pdf?arnumber=10610601

Reference36 articles.

1. Object-Independent Human-to-Robot Handovers Using Real Time Robotic Vision

2. Robotic Skill Learning for Precision Assembly With Microscopic Vision and Force Feedback

3. Semantic Linking Maps for Active Visual Object Search

4. Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video

5. An Affordance Keypoint Detection Network for Robot Manipulation

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