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The number of digital images is growing extremely rapidly, and so is the need for their classification. But, as more images of pre-defined categories become available, they also become more diverse and cover finer semantic differences. Ultimately, the categories themselves need to be divided into subcategories to account for that semantic refinement. Image classification in general has improved significantly over the last few years, but it still requires a massive amount of manually annotateddoi:10.1109/cvpr.2015.7298619 dblp:conf/cvpr/RistinGGG15 fatcat:3dvgmtzsvnainkzy3djitnx5w4