NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval

作者：

Highlights：

• Proposed a novel supervised asymmetric cross-modal hashing method.

• Designed a semantic enhancement descriptor and a fast discrete optimization module.

• Proposed a well-designed alternative optimization to solve the discrete problem.

• Evaluated the effectiveness of the proposed method via two famous datasets.

摘要

•Proposed a novel supervised asymmetric cross-modal hashing method.•Designed a semantic enhancement descriptor and a fast discrete optimization module.•Proposed a well-designed alternative optimization to solve the discrete problem.•Evaluated the effectiveness of the proposed method via two famous datasets.

论文关键词：Cross-modal retrieval,Supervised hashing,Semantic enhancement descriptors

论文评审过程：Received 8 May 2020, Revised 19 January 2021, Accepted 30 January 2021, Available online 8 February 2021, Version of Record 11 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106818