METHOD, APPARATUS, DEVICE, AND STORAGE MEDIUM FOR TRAINING IMAGE PROCESSING MODEL

An image processing model can more accurately process a face image with an occluded face while reducing calculations and improving operation speed of a processing device, reducing training time and costs. A predicted recognition result of a sample face image and occlusion indication information based on an image processing model is obtained. The occlusion indication information indicates an image feature of a face occlusion area of the sample face image. A recognition error based on the predicted recognition result and a target recognition result is also obtained. A classification error is obtained based on the occlusion indication information and a target occlusion pattern corresponding to the sample face image. An occlusion pattern of the sample face image indicates a position and a size of the face occlusion area. A model parameter of the image processing model is updated based on the recognition error and the classification error.