Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Omid Nejati Manzari"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 38, Iss , Pp 101320- (2023)
Vision transformers have been demonstrated to yield state-of-the-art results on a variety of computer vision tasks using attention-based networks. However, research works in transformers mostly do not investigate robustness/accuracy trade-off, and th
Externí odkaz:
https://doaj.org/article/5d491f6cc51f40e89c6dc84836740b92
Autor:
Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani, Shahriar B. Shokouhi, Ahmad Ayatollahi
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, there are still concerns about the reliability of deep medical diagnosis systems against the potential threats of adversarial attack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a1eb1a566740bf5131341cbef99308
Traffic sign detection is a vital task in the visual system of self-driving cars and the automated driving system. Recently, novel Transformer-based models have achieved encouraging results for various computer vision tasks. We still observed that va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::582e40949732ed076030fb4b7760d804
http://arxiv.org/abs/2207.06067
http://arxiv.org/abs/2207.06067