Neuroscience-driven Visual Representation

Download or read book Neuroscience-driven Visual Representation written by Teng Li and published by Frontiers Media SA. This book was released on 2024-08-14 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.