Exploring spatial and channel contribution for object based image retrieval

作者：

Highlights：

• We propose Strong-Response-Stack-Contribution (SRSC) to generate global representation vector for object retrieval.

• We explored spatial and channel contribution to help us focus more on ROI and make the global feature vector more representative.

摘要

•We propose Strong-Response-Stack-Contribution (SRSC) to generate global representation vector for object retrieval.•We explored spatial and channel contribution to help us focus more on ROI and make the global feature vector more representative.

论文关键词：Object retrieval,Spatial and channel contribution,Aggregate,Global representation vector

论文评审过程：Received 12 March 2019, Revised 12 August 2019, Accepted 15 August 2019, Available online 17 August 2019, Version of Record 5 November 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.104955