Three-Dimensional Object Perception Can Emerge From Predictive Learning

In this paper, we show that predicting future visual input provides sufficient teaching signal for a neural network model with access to similar signal (continuous stream of visual input and knowledge of self-motion) available to infants to learn to perceive space in 3D and segment and localize objects. Congrats to the lead authors John and Tushar!

Leave a Reply

Your email address will not be published. Required fields are marked *