Object Permanence

Object permanence, the understanding that objects continue to exist even when out of sight, is a fundamental cognitive ability and a key challenge in artificial intelligence. Current research focuses on developing computational models, often employing deep learning architectures like particle filters and transformers, that can learn and represent object permanence from visual data, particularly in scenarios with occlusions or interruptions. This work is significant for advancing our understanding of human cognition and for improving the robustness and reliability of computer vision systems in dynamic environments, with applications ranging from robotics to autonomous driving.