Bayesian denoising hashing for robust image retrieval

作者：

Highlights：

• A Bayesian denoising hashing method is proposed for robust image retrieval.

• We impose extra constraints in the variational Bayes framework to learn robust hash code.

• Our method can be combined with many traditional hashing algorithms to achieve state-of-the-art performance on real-world datasets.

摘要

•A Bayesian denoising hashing method is proposed for robust image retrieval.•We impose extra constraints in the variational Bayes framework to learn robust hash code.•Our method can be combined with many traditional hashing algorithms to achieve state-of-the-art performance on real-world datasets.

论文关键词：Image retrieval,Denoising hashing,Probabilistic model,Variational Bayes

论文评审过程：Received 8 December 2017, Revised 2 August 2018, Accepted 9 September 2018, Available online 10 September 2018, Version of Record 18 September 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.09.006