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PNAP-YOLO: An Improved Prompts-Based Naturalistic Adversarial Patch Model for Object Detectors

Published Online: 2025-05-02

Published Print: 2025-06

Authors

Li, Jun https://orcid.org/0000-0002-8937-3991
Shan, Chenwu

Shen, Liyan

Ren, Yawei

Zhang, Jiajie
Funding

Funding for this research was provided by:

Basic Research Project of the National Defence Science and Industry Bureau (JCKY2022405C010)
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Text and Data Mining valid from 2025-05-02

Version of Record valid from 2025-05-02
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Article History

Received: 11 March 2024

Revised: 23 August 2024

Accepted: 20 September 2024

First Online: 2 May 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: The authors have obtained consent from all human participants.

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