Discriminative dual-stream deep hashing for large-scale image retrieval
Information Processing & Management(2020)
摘要
•Most existing deep supervised hashing methods mainly focus on how to effectively preserve the similarity information of semantic labels while ignoring discrimination information in the labels.•A novel discriminative dual-stream deep hashing method is proposed to integrate the pairwise similarity loss and the classification loss into a unified framework to take full advantage of label information.•The proposed method enlarges the margin between the different classes so that can generate discrimination of learned binary codes for better image retrieval performance.•Extensive experiments show that the proposed method consistently outperforms current state-of- the-art methods on three benchmark datasets for image retrieval task.
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关键词
Discriminative hashing,Deep supervised hashing,Dual-stream deep network,Large-scale image retrieval
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