Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
Journal:
arXiv
Published Date:
Apr 24, 2025
Abstract
We exploit the mathematical modeling of the visual cortex mechanism for
border completion to define custom filters for CNNs. We see a consistent
improvement in performance, particularly in accuracy, when our modified LeNet 5
is tested with occluded MNIST images.
