1. A convolutional-neural-network-based classifier, comprising: a plurality of feature map layers, at least one feature map in at least one of feature maps being divided into a plurality of regions; and a plurality of convolutional templates corresponding to the plurality of regions respectively, each of the convolutional templates being used for obtaining a response value of a neuron in the corresponding region.