FeaCo: Reaching Robust Feature-Level Consensus in Noisy Pose Conditions-Reference-Cited by-同舟云学术

FeaCo: Reaching Robust Feature-Level Consensus in Noisy Pose Conditions

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Gu Jiaming¹^ORCID,Zhang Jingyu²^ORCID,Zhang Muyang³^ORCID,Meng Weiliang⁴^ORCID,Xu Shibiao⁵^ORCID,Zhang Jiguang⁴^ORCID,Zhang Xiaopeng⁴^ORCID

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Fudan University, Shanghai, China

3. University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences, Beijing, China

4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

5. Beijing University of Posts and Telecommunications, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611880

Reference30 articles.

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3. F-cooper

4. Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds

5. Alexey Dosovitskiy , Lucas Beyer , Alexander Kolesnikov , Dirk Weissenborn , Xiaohua Zhai , Thomas Unterthiner , Mostafa Dehghani , Matthias Minderer , Georg Heigold , Sylvain Gelly , 2020 . An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale . In International Conference on Learning Representations. Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al. 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In International Conference on Learning Representations.

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