LEARNING APPARATUS, SYSTEM FOR GENERATING CAPTURED IMAGE CLASSIFICATION APPARATUS, APPARATUS FOR GENERATING CAPTURED IMAGE CLASSIFICATION APPARATUS, LEARNING METHOD, AND PROGRAM

摘要

A classification learning section executes training of a feature quantity extraction section and training of a classification section resulting from a comparison between an output generated when feature quantity data is inputted to the classification section and training data regarding a plurality of classes associated with a source domain training image. A dividing section divides feature quantity data outputted from the feature quantity extraction section in accordance with input of an image into a plurality of pieces of partial feature quantity data corresponding to the image including a feature map of one or more of the classes. A domain identification learning section executes training of the feature quantity extraction section resulting from a comparison between an output generated when partial feature quantity data corresponding to the image is inputted to a domain identification section and data indicating whether the image belongs to a source domain or to the target domain.