Evaluation Of Hashing Methods Performance On Binary Feature Descriptors

Komorowski Jacek, Trzcinski Tomasz. Arxiv 2017

[Paper]    
ARXIV Supervised

In this paper we evaluate performance of data-dependent hashing methods on binary data. The goal is to find a hashing method that can effectively produce lower dimensional binary representation of 512-bit FREAK descriptors. A representative sample of recent unsupervised, semi-supervised and supervised hashing methods was experimentally evaluated on large datasets of labelled binary FREAK feature descriptors.

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