Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement-Reference-Cited by-同舟云学术

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Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement

Published:2021-05-30 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Qin Fangbo,Qin Jie,Huang Siyu,Xu De

Funder

National Key Research and Development Program of China

Beijing Municipal Science and Technology Commission

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561168.pdf?arnumber=9561168

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Object-Specific Rapid Feature Adaption for One-Shot Contour Primitive of Interest Extraction;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17

3. Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement;IEEE Transactions on Industrial Informatics;2023-04

4. Multi-Stage Contour Primitive of Interest Extraction Network with Dense Direction Classification;IEICE Transactions on Information and Systems;2022-10-01

5. Flexible 3D Object Appearance Observation Based on Pose Regression and Active Motion;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

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