The application provides a kind of complex scene under the method for detecting
occlusion and fuzzy face, it is related to near view face target identification and detection technical field.The application is repaired to the face image of
occlusion and fuzzy by using the GFP-GAN of generating face priori, then the
face detection of face image after repair is carried out using improved MTCNN.Improved MTCNN introduces depth separable
convolution in
model network, so that the amount of calculation is reduced, the model detection time is reduced, and the model detection speed is accelerated;Improved residual attention module combined with Involution
convolution is introduced in the R-Net network of the model, the accuracy of
face detection is improved through the module, while reducing the size and amount of calculation of the model, the detection accuracy is ensured;Finally, the Dropout layer is introduced at the full connection layer of the network, the problem of
overfitting is alleviated, to a certain extent, the effect of regularization is achieved, a kind of weighted post-
processing algorithm Confluence is used to screen the
face detection frame generated by O-Net network, and the accuracy of face detection frame is improved.