Perception Mechanism

Perception mechanisms research aims to understand how organisms, including humans and artificial systems, acquire and interpret sensory information. Current efforts focus on developing and evaluating models, such as multimodal large language models and deep convolutional neural networks, that mimic aspects of human visual perception, often using benchmarks to assess their performance against human-level abilities. This research is crucial for advancing artificial intelligence, particularly in robotics and autonomous systems, by improving the robustness and accuracy of perception in complex environments, and also for gaining a deeper understanding of biological vision.