Emergent color categorization in a neural network trained for object recognition.

ABSTRACT: Color is a prime example of categorical perception, yet it is unclear why and how color categories emerge. On the one hand, prelinguistic infants and several animals treat color categorically. On the other hand, recent modeling endeavors have successfully utilized communicative concepts as the driving force for color categories. Rather than modeling categories directly, we investigate the potential emergence of color categories as a result of acquiring visual skills. Specifically, we asked whether color is represented categorically in a convolutional neural network (CNN) trained to recognize objects in natural images. We systematically trained new output layers to the CNN for a color classification task and, probing novel colors, found borders that are largely invariant to the training col

SUBMITTER: de Vries JP 

PROVIDER: S-EPMC9797187 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature