Design and Research of Deep Convolution Network Based on Paralleland Slice

We have proposed the convolution neural network model based on parallel and slice, network of parallel extract feature of the top feature map is carried out through two channels, however, the parameters of the network will be doubled; network of slice cut the top output maps into two parts at first, convolute each map, and then fuse the convolution output of the two parts finally.Compared with the same scale model, those two models are able to extract more essential image features, but network of slice will not be added the network parameters.Those networks are tested on the cifar10 and cifar100 datasets in the experimental stage, and good results are obtained.