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\title{EE3-25 Deep Learning Report}

\author{Vasil Zlatanov\\
01120518\\
{\tt\small vz215@ic.ac.uk}
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  Abstract - In this paper we investigate triplet loss based methods for verification, matching and retrieval of the HPatches dataset. We explore a system of two models, one for denoising of the patches and one for generation of descriptors. We are able to show that a model trained with online hard patch mining, while more difficult, is able to achieve improved performance over a classical Siamese triplet network.
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