1. An object recognition apparatus comprising: a learning unit configured to: determine an image feature vector of a first image by applying, to the first image, a convolution network for extracting features from a plurality of image learning sets including the first image and a sample segmentation map of the first image; determine a first segmentation map of the first image by applying a deconvolution network to the determined image feature vector; and determine a weight of the convolution network and a weight of the deconvolution network based on the sample segmentation map and the first segmentation map; and a segmentation map determiner configured to determine a second segmentation map of a second image through the convolution network using the determined weight of the convolution network and through the deconvolution network using the determined weight of the deconvolution network.