Convolutional Neural Networks (ConvNets or CNNs) have revolutionized the field of image recognition through their unique architecture and mechanisms, among which weight sharing plays a important role. Weight sharing is a fundamental aspect that contributes significantly to translation invariance and the reduction of the number of parameters in these networks. To fully appreciate its impact,