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%%%%%%%%% ABSTRACT
\begin{abstract}
- Abstract - ...
+ 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.
\end{abstract}
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