Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling-Reference-Cited by-同舟云学术

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Hu Zhanhao¹,Chu Wenda²,Zhu Xiaopei³,Zhang Hui⁴,Zhang Bo¹,Hu Xiaolin¹

Affiliation:

1. Tsinghua University,Department of Computer Science and Technology,Beijing,China

2. Institute for Interdisciplinary Information Sciences, Tsinghua University,Beijing,China

3. School of Integrated Circuits, Tsinghua University,Beijing,China

4. Beijing Institute of Fashion Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205173.pdf?arnumber=10205173

Reference48 articles.

1. In-triguing properties of neural networks;szegedy;International Con-ference on Learning Representations,2014

2. Learning coated adversarial camouflages for object detec-tors;duan;Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence,2022

3. Physical adversarial examples for object detectors;song;12th USENIX Workshop on Offensive Tech-nologies ( WOOT 18),2018

4. Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles

5. An Augmentation Strategy for Medical Image Processing Based on Statistical Shape Model and 3D Thin Plate Spline for Deep Learning

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