Hiding from infrared detectors in real world with adversarial clothes-Reference-Cited by-同舟云学术

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Hiding from infrared detectors in real world with adversarial clothes

Published:2023-10-31 Issue:23 Volume:53 Page:29537-29555
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhu Xiaopei,Hu Zhanhao,Huang Siyuan,Li Jianmin,Hu Xiaolin,Wang Zheyao

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Tsinghua- Toyota Joint Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05102-5.pdf

Reference61 articles.

1. Zhu X, Li X, Li J, Wang Z, Hu X (2021) Fooling thermal infrared pedestrian detectors in real world using small bulbs. Proceedings of the AAAI conference on artificial intelligence 35:3616–3624

2. Breland DS, Dayal A, Jha A, Yalavarthy PK, Pandey OJ, Cenkeramaddi LR (2021) Robust hand gestures recognition using a deep cnn and thermal images. IEEE Sensors J 21(23):26602–26614

3. Xu C, Li Q, Zhou M, Zhou Q, Zhou Y, Ma Y (2022) Rgb-t salient object detection via cnn feature and result saliency map fusion. Appl Intell 52(10):11343–11362

4. Zhang J, Qian W, Nie R, Cao J, Xu D (2023) Generate adversarial examples by adaptive moment iterative fast gradient sign method. Appl Intell 53(1):1101–1114

5. Aldahdooh A, Hamidouche W, Déforges O (2023) Revisiting model’s uncertainty and confidences for adversarial example detection. Appl Intell 53(1):509–531

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