Deep Image Set Hashing

16 Jun 2016Jie FengSvebor KaramanI-Hong JhuoShih-Fu Chang

In applications involving matching of image sets, the information from multiple images must be effectively exploited to represent each set. State-of-the-art methods use probabilistic distribution or subspace to model a set and use specific distance measure to compare two sets... (read more)

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