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

摘要

Provided are a learning device, a learning method, and a program capable of improving the accuracy of classifying an image belonging to a target domain. A classification learning unit (74) trains a feature quantity extraction unit (72) and a classification unit (32) on the basis of the result of a comparison between the output from the classification unit (32) as obtained when feature quantity data is input to the classification unit (32) and training data for a plurality of classes associated with a source domain learning image. A dividing unit (50) divides feature quantity data that is output from the feature quantity extraction unit (72) when an image is input to the feature quantity extraction unit (72) into a plurality of pieces of partial feature quantity data that are associated with the image and that each include one or a plurality of class feature maps. A domain identification learning unit (76) trains the feature quantity extraction unit (72) on the basis of the result of a comparison between the output from a domain identification unit (56) as obtained when partial feature quantity data corresponding to an image is input to the domain identification unit (56) and data that indicates whether the image belongs to the source domain or target domain.