Neuroscience-driven Visual Representation

Know about the book -

Neuroscience-driven Visual Representation is written by Teng Li and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832553222 (ISBN 10) and 9782832553220 (ISBN 13).

Visual representation learning enables computers or systems to simulate the function of retinas, optic nerves, and visual cortex in the human brain, and derive meaningful information from digital images, videos, and other visual inputs. To learn the effective presentation of visual data is essential for many computer vision and artificial intelligence applications ranging from energy and utilities to manufacturing and automotive. Current popular deep learning-based visual representation learning methods do not fully consider the nature of the biological visual nervous system and are lack in interpretability. To solve visual representation well, the integration of psychological or neuroscientific approaches is required to enhance the cognition of visual data.