IMAGE RECOGNITION APPARATUS, LEARNING APPARATUS, IMAGE RECOGNITION METHOD, LEARNING METHOD, AND STORAGE MEDIUM

A Deep Neural Network (DNN) having a plurality of recognition tasks with different scales makes it possible to perform recognition processing in a network where identification layers are branched from one intermediate layer. An image recognition apparatus for recognizing a target includes a first acquisition unit configured to acquire from an input image a first intermediate feature amount for performing first identification, a first identification unit configured to perform the first identification based on the first intermediate feature amount, a second acquisition unit configured to acquire from the first intermediate feature amount a second intermediate feature amount for performing second identification having a larger scale than the first identification, and a second identification unit configured to perform the second identification based on the second intermediate feature amount.