Brain-inspired visual sensing–perception for open-world environments
Experiments show that bottom-up learning yields consistent generalization across diverse degradations, while top-down modulation substantially improves monocular depth estimation and video instance segmentation under severe interference, establishing a principled brain-inspired computational approach for advancing artificial visual intelligence and understanding human vision.