DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World

Recent years have seen an increasing interest in physical adversarial attacks, which aim to craft deployable patterns for deceiving deep neural networks, especially for person detectors. However, the adversarial patterns of existing patch-based attacks heavily suffer from the self-coupling issue, wh...

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Hauptverfasser:	Cheng, Jikang, Zhang, Ying, Wang, Zhongyuan, Qin, Zou, Li, Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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