Self-Supervised Learning of Color Constancy

arXiv:2404.08127v1 Announce Type: cross
Abstract: Color constancy (CC) describes the ability of the visual system to perceive an object as having a relatively constant color despite changes in lighting conditions. While CC and its limitations have been carefully characterized in humans, it is still unclear how the visual system acquires this ability during development. Here, we present a first study showing that CC develops in a neural network trained in a self-supervised manner through an invariance learning objective. During learning, …

abstract arxiv color cs.ai cs.cv cs.lg development humans lighting limitations object self-supervised learning supervised learning type visual