Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision.
Keerthi S ChandranAmrita Mukherjee PaulAvijit PaulKuntal GhoshPublished in: The Behavioral and brain sciences (2023)
Psychologically faithful deep neural networks (DNNs) could be constructed by training with psychophysics data. Moreover, conventional DNNs are mostly monocular vision based, whereas the human brain relies mainly on binocular vision. DNNs developed as smaller vision agent networks associated with fundamental and less intelligent visual activities, can be combined to simulate more intelligent visual activities done by the biological brain.