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Infrared detection is an emerging technique for safety-critical tasks owing to its remarkable anti-interference capability.
“Pedestrian detection using infrared images and histograms of oriented gradients,”
Frédéric Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair, and Alberto Broggi, · 2006
Earlier work this paper cites.
“Intriguing properties of neural networks,”
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus, · 2014
Earlier work this paper cites.
“Explaining and harnessing adversarial examples,”
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy, · 2014
Earlier work this paper cites.
“Microsoft coco: Common objects in context,”
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick, · 2014
Earlier work this paper cites.
“Explaining and harnessing adversarial examples,”
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy, · 2015
Earlier work this paper cites.
“Pedestrian detection at day/night time with visible and fir cameras: A comparison,”
Alejandro González, Zhijie Fang, Yainuvis Socarras, Joan Serrat, David Vázquez, Jiaolong Xu, and Antonio M. López, · 2016
Earlier work this paper cites.
Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer, · 2017
Earlier work this paper cites.
“Towards deep learning models resistant to adversarial attacks,”
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu, · 2017
Earlier work this paper cites.
“Adversarial examples in the physical world,”
Alexey Kurakin, Ian J Goodfellow, and Samy Bengio, · 2018
Cited alongside, same era.
“Physical adversarial examples for object detectors,”
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, and Tadayoshi Kohno, · 2018
Cited alongside, same era.
“Robust physical-world attacks on deep learning visual classification,”
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song, · 2018
Cited alongside, same era.
“Physical adversarial examples for object detectors,”
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, Tadayoshi Kohno, and Dawn Song, · 2018
Cited alongside, same era.
“On physical adversarial patches for object detection,”
Mark Lee and Zico Kolter, · 2019
Cited alongside, same era.
“Overfitting in adversarially robust deep learning,”
Leslie Rice, Eric Wong, and Zico Kolter, · 2020
Later among the works it cites.
“Fooling thermal infrared pedestrian detectors in real world using small bulbs,”
Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, and Xiaolin Hu, · 2021
Later among the works it cites.
“Adversarial yolo: Defense human detection patch attacks via detecting adversarial patches,”
Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, and Naijin Liu, · 2021
Later among the works it cites.
“Trivialaugment: Tuning-free yet state-of-the-art data augmentation,” 2021
Samuel G. Müller and Frank Hutter, · 2021
Later among the works it cites.
“ultralytics/yolov5: v6.0 - YOLOv5n ’Nano’ models, Roboflow integration, TensorFlow export, OpenCV DNN support,” Oct. 2021
Glenn Jocher et. al., · 2021
Later among the works it cites.
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“Fooling automated surveillance cameras: adversarial patches to attack person detection,”
Simen Thys, Wiebe Van Ranst, and Toon Goedemé, · 2019
Cited alongside, same era.
“Theoretically principled trade-off between robustness and accuracy,”
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, and Michael Jordan, · 2019
Cited alongside, same era.
“Resolving class imbalance in object detection with weighted cross entropy losses,”
Trong Huy Phan and Kazuma Yamamoto, · 2020
Cited alongside, same era.
“Free - flir thermal dataset for algorithm training — teledyne flir,”
Cited in the paper.
“Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world,”
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, and Xiaolin Hu, · 2022
Later among the works it cites.
“Hotcold block: Fooling thermal infrared detectors with a novel wearable design,”
Hui Wei, Zhixiang Wang, Xuemei Jia, Yinqiang Zheng, Hao Tang, Shin’ichi Satoh, and Zheng Wang, · 2023
Closest in time.
“Physically adversarial infrared patches with learnable shapes and locations,”
Xingxing Wei, Jie Yu, and Yao Huang, · 2023
Closest in time.