MIHash: Online Hashing with Mutual Information

ICCV 2017 Fatih CakirKun HeSarah Adel BargalStan Sclaroff

Learning-based hashing methods are widely used for nearest neighbor retrieval, and recently, online hashing methods have demonstrated good performance-complexity trade-offs by learning hash functions from streaming data. In this paper, we first address a key challenge for online hashing: the binary codes for indexed data must be recomputed to keep pace with updates to the hash functions... (read more)

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