April 9, 2024, 4:47 a.m. | Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton L. Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, B

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.05290v1 Announce Type: new
Abstract: Multiple benchmarks have been developed to assess the alignment between deep neural networks (DNNs) and human vision. In almost all cases these benchmarks are observational in the sense they are composed of behavioural and brain responses to naturalistic images that have not been manipulated to test hypotheses regarding how DNNs or humans perceive and identify objects. Here we introduce the toolbox MindSet: Vision, consisting of a collection of image datasets and related scripts designed to …

arxiv cs.ai cs.cv key mindset testing type vision

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