Towards Robust Person Re-Identification by Defending Against Universal Attackers
Recent studies show that deep person re-identification (re-ID) models are vulnerable to adversarial examples, so it is critical to improving the robustness of re-ID models against attacks. To achieve this goal, we explore the strengths and weaknesses of existing re-ID models, i.e., designing learnin...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 16. Apr., Seite 5218-5235
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| 1. Verfasser: |
Yang, Fengxiang
(VerfasserIn) |
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| Weitere Verfasser: |
Weng, Juanjuan,
Zhong, Zhun,
Liu, Hong,
Wang, Zheng,
Luo, Zhiming,
Cao, Donglin,
Li, Shaozi,
Satoh, Shin'ichi,
Sebe, Nicu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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