Accurate but fragile passive non-line-of-sight recognition

Non-line-of-sight imaging allows reconstruction and recognition of an obscured object, but external manipulation of the data can lead to inaccurate results. Here, the accuracy and robustness of passive non-line-of-sight recognition and its fragility to adversarial attacks are studied.

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Autores principales: Yangyang Wang, Yaqin Zhang, Meiyu Huang, Zhao Chen, Yi Jia, Yudong Weng, Lin Xiao, Xueshuang Xiang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/dd7253beb95c4d4ea71a2ec0584a47d7
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