FCN based image saliency detection met hods have become very popular in the past few years because of outstanding performance.However,problems still exist in the methods,such as difficult training process,inaccurate edge detect ion.To solve the problems,a convolutional neural network based on Gabor initia lization is proposed,and the features of the network include:1) making use of Gabor feature improving the efficiency of training process; 2) constructing brid ge module for the purpose connecting coding and decoding processes; 3) proposing weighted cross entropy loss function to facilitate training effect.The experim ent shows that the proposed network represent brilliant performance in three pub lic datasets.