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We exploit the mathematical modeling of the visual cortex mechanism forborder completion to define custom filters for CNNs. We see a consistentimprovement in performance, particularly in accuracy, when our modified LeNet 5is tested with occluded MNIST images.

Enhancing CNNs robustness to occlusions with bioinspired filters for border completion