Entropy-Boosted Adversarial Patch for Concealing Pedestrians in YOLO Models-Reference-Cited by-同舟云学术

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Entropy-Boosted Adversarial Patch for Concealing Pedestrians in YOLO Models

Published:2024 Issue: Volume:12 Page:32772-32779
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lin Chih-Yang¹^ORCID,Huang Tun-Yu²^ORCID,Ng Hui-Fuang³^ORCID,Lin Wei-Yang⁴^ORCID,Farady Isack¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan

2. Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan

3. Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar, Malaysia

4. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan

Funder

National Science and Technology Council (NSTC), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10453548.pdf?arnumber=10453548

Reference26 articles.

1. YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification

2. YOLO Algorithm for Helmet Detection in Industries for Safety Purpose

3. Synthesizing robust adversarial examples;Athalye

4. Adversarial patch;Brown;arXiv:1712.09665,2017

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