Title
Occlusion Resilient Adversarial Attack for Person Re-identification
Abstract
Deep learning-based person re-identification (Re-ID) methods have achieved the significant performance of matching person images across camera views, which plays an important role in the construction of the smart city. Recent works of adversarial attacks have explored the serious vulnerability of deep Re-ID systems. However, existing attacks are performed with idealized conditions and ignore the r...
Year
DOI
Venue
2021
10.1109/MASS52906.2021.00071
2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS)
Keywords
DocType
ISSN
Training,Legged locomotion,Smart cities,Conferences,Semantics,Cameras,Robustness
Conference
2155-6806
ISBN
Citations 
PageRank 
978-1-6654-4935-9
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Xinyu Wang100.34
Xiaolong Zheng215023.15
Peilun Du300.68
Liang Liu458757.54
Huadong Ma52020179.93