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pro vyhledávání: '"Bayer, Jens"'
Adversarial patches in computer vision can be used, to fool deep neural networks and manipulate their decision-making process. One of the most prominent examples of adversarial patches are evasion attacks for object detectors. By covering parts of ob
Externí odkaz:
http://arxiv.org/abs/2408.15833
Data pooling offers various advantages, such as increasing the sample size, improving generalization, reducing sampling bias, and addressing data sparsity and quality, but it is not straightforward and may even be counterproductive. Assessing the eff
Externí odkaz:
http://arxiv.org/abs/2311.09768
Adversarial patches are still a simple yet powerful white box attack that can be used to fool object detectors by suppressing possible detections. The patches of these so-called evasion attacks are computational expensive to produce and require full
Externí odkaz:
http://arxiv.org/abs/2306.10963
Deep neural networks, especially convolutional deep neural networks, are state-of-the-art methods to classify, segment or even generate images, movies, or sounds. However, these methods lack of a good semantic understanding of what happens internally
Externí odkaz:
http://arxiv.org/abs/2108.11767
Living in a complex world like ours makes it unacceptable that a practical implementation of a machine learning system assumes a closed world. Therefore, it is necessary for such a learning-based system in a real world environment, to be aware of its
Externí odkaz:
http://arxiv.org/abs/2003.01719
Publikováno v:
In The Surgeon 2011 9(4):175-178
Autor:
Bouma, Henri, Prabhu, Radhakrishna, Stokes, Robert J., Yitzhaky, Yitzhak, Bayer, Jens, Münch, David, Arens, Michael
Publikováno v:
Proceedings of SPIE; December 2022, Vol. 12275 Issue: 1 p122750F-122750F-8, 1104759p
Autor:
Bouma, Henri, Prabhu, Radhakrishna, Stokes, Robert J., Yitzhaky, Yitzhak, Bayer, Jens, Münch, David, Arens, Michael
Publikováno v:
Proceedings of SPIE; September 2021, Vol. 11869 Issue: 1 p118690I-118690I-14, 11750325p
Publikováno v:
British Journal of Medical Practitioners. 2010, Vol. 3 Issue 1, p6-10. 5p. 2 Color Photographs, 2 Black and White Photographs.
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