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Found 4 papers, 1 papers with code
Deep Neural Models for color discrimination and color constancy
High levels of color constancy were achieved with different DNN architectures.
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
Machine learning is advancing towards a data-science approach, implying a necessity to a line of investigation to divulge the knowledge learnt by deep neuronal networks.
Manifestation of Image Contrast in Deep Networks
Contrast is subject to dramatic changes across the visual field, depending on the source of light and scene configurations.
How is Contrast Encoded in Deep Neural Networks?
Contrast is a crucial factor in visual information processing.
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