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3 papers
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This study examines categorical colour perception using deep networks, showing alignment with human data and revealing the influence of both visual signals and linguistic factors.
A. Akbarinia, Y. Morgenstern, K. R. Gegenfurtner
This study examines the contrast sensitivity function (CSF) in deep neural networks, finding that human-like CSF characteristics emerge across different network architectures and tasks.
J. P. de Vries, A. Akbarinia, A. Flachot, K. R. Gegenfurtner
This study shows that a CNN trained for object recognition develops categorical color perception, with clear borders between new colors that are invariant to training colors.