Methods of visual perception and memory modeling
Bio-inspired model for object recognition based on histogram of oriented gradients
Modeling object recognition in visual cortex using multiple firing K-means and nonnegative sparse coding
Biological modeling of human visual system using GLoP filters and sparse coding on multi-manifolds
Increment learning and rapid retrieval of visual information based on pattern association memory
Memory modeling based on free energy theory and restricted Boltzmann machine
Research on insect pest image detection and recognition based on bio-inspired methods
Carrot defect detection and grading based on computer vision and deep learning.