2022
Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias
ICASSP 2022accepted
Recent experiments in computer vision demonstrate texture bias as the primary reason for supreme results in models employing Convolutional Neural Networks (CNNs), conflicting with early works claiming that these networks identify objects using shape. It is believed that the cost function forces the…