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Found 3 papers, 2 papers with code
Weakly Supervised Deep Image Hashing through Tag Embeddings
We utilize the information contained in the user-generated tags associated with the images to learn the hash codes.
A Computational Approach to Relative Aesthetics
To this end, we formulate a novel problem of ranking images with respect to their aesthetic quality.
Neural Dataset Generality
It is curious that while the filters learned by these CNNs are related to the atomic structures of the images from which they are learnt, all datasets learn similar looking low-level filters.
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