To address poor generalization ability of network and heavy computation caused by the large number of network parameters in existing expression recognition methods,this paper proposes a facial expression recognition method based on small-scale kernel convolution.The multi-layer small-scale kernel convolution block is used instead of large convolution kernel to reduce the number of parameters.On this basis,the maximum pooling layer is used to extract facial expression image features,and the Softmax classifier is used to classify different expressions.The network depth is also increased under th...
