APPARATUS AND METHOD FOR TRAINING CLASSIFICATION MODEL AND APPARATUS FOR CLASSIFYING WITH CLASSIFICATION MODEL

摘要

An apparatus and method for training a classification model and an apparatus for classifying with a classification model are disclosed. The apparatus for training a classification model comprises: a local area obtainment unit to, obtain predetermined local area which is a part of a global area of a sample image; a feature extraction unit to, with respect to each sample image, set corresponding numbers of feature extraction layers for the global area and each predetermined local area respectively, to extract a global feature of the global area and a local feature of each predetermined local area respectively, wherein the global area and the predetermined local areas share at least one layer of the feature extraction layers set with respect to the global area and each predetermined local area respectively, to combine the global feature and each local feature in the at least one shared layer; and a loss determination unit to calculate, with a loss determination layer, a loss function of the sample image based on combined features of each sample image, and to train the classification model based on the loss function.