Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks-Reference-Cited by-同舟云学术

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Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks

Published:2024-01 Issue:1 Volume:43 Page:366-379
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Han Husheng¹^ORCID,Hu Xing²^ORCID,Hao Yifan¹^ORCID,Xu Kaidi³,Dang Pucheng¹,Wang Ying¹^ORCID,Zhao Yongwei¹^ORCID,Du Zidong²^ORCID,Guo Qi¹^ORCID,Wang Yanzhi⁴^ORCID,Zhang Xishan¹,Chen Tianshi⁵

Affiliation:

1. State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Processors, Institute of Computing Technology, and the Shanghai Innovation Center for Processor Technologies, Chinese Academy of Sciences, Beijing, China

3. Department of Computer Science, Drexel University, Philadelphia, PA, USA

4. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA

5. Cambricon Technologies, Beijing, China

Funder

National Key Research and Development Program of China

NSF of China

CAS Project for Young Scientists in Basic Research

Youth Innovation Promotion Association CAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10372473/10220201.pdf?arnumber=10220201

Reference71 articles.

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