Training apparatus, classification apparatus, training method, classification method, and program

Abstract

To provide an efficient training process even in a case where training images having a limited variation of shooting angles are available. Solution to Problem A training apparatus () comprises: feature extraction section () for extracting source domain feature values from input source domain image data and for extracting target domain feature values from input target domain image data; angle conversion section () for generating converted source domain feature values by converting the source domain feature values as if the converted source domain feature values are extracted from source domain image data having different angles from the input source domain image data, and generating converted target domain feature values by converting the target domain feature values as if the converted target domain feature values are extracted from target domain image data having different angles from the input target domain image data; class prediction section() for predicting source domain class prediction values from the source domain feature values and the converted source domain feature values, and predicting target domain class prediction values from the target domain feature values and the converted target domain feature values; and updating section () for updating at least one of (i) the feature extraction section, (ii) the angle conversion section, and (iii) the class prediction section.