Fast Cross-Modal Hashing With Global and Local Similarity Embedding

Recently, supervised cross-modal hashing has attracted much attention and achieved promising performance. To learn hash functions and binary codes, most methods globally exploit the supervised information, for example, preserving an at-least-one pairwise similarity into hash codes or reconstructing...

Ausführliche Beschreibung