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pro vyhledávání: '"Crowder, Dakarai"'
Adversarial attacks can affect the object recognition capabilities of machines in wild. These can often result from spurious correlations between input and class labels, and are prone to memorization in large networks. While networks are expected to
Externí odkaz:
http://arxiv.org/abs/2310.07725
Some recent artificial neural networks (ANNs) claim to model aspects of primate neural and human performance data. Their success in object recognition is, however, dependent on exploiting low-level features for solving visual tasks in a way that huma
Externí odkaz:
http://arxiv.org/abs/2212.13967
Autor:
Crowder, Dakarai, Malik, Girik
Recent neural network architectures have claimed to explain data from the human visual cortex. Their demonstrated performance is however still limited by the dependence on exploiting low-level features for solving visual tasks. This strategy limits t
Externí odkaz:
http://arxiv.org/abs/2205.05167
Autor:
Malik, Girik1 (AUTHOR) malik.gi@northeastern.edu, Crowder, Dakarai1 (AUTHOR), Mingolla, Ennio1 (AUTHOR)
Publikováno v:
Biological Cybernetics. Oct2023, Vol. 117 Issue 4/5, p331-343. 13p.
