Exploiting textual queries for dynamically visual disambiguation

作者：

Highlights：

• Adapt to dynamic changes in search results and carry out visual disambiguation.

• A saliency-guided deep MIL network to remove outliers and learn visual disambiguation.

• Identify appropriate visual senses for sense-specific image collection.

• Be used as a pre-step before learning from the web for improving the performance.

摘要

•Adapt to dynamic changes in search results and carry out visual disambiguation.•A saliency-guided deep MIL network to remove outliers and learn visual disambiguation.•Identify appropriate visual senses for sense-specific image collection.•Be used as a pre-step before learning from the web for improving the performance.

论文关键词：Visual disambiguation,Image search,Text queries,Web images

论文评审过程：Received 17 January 2020, Revised 15 August 2020, Accepted 29 August 2020, Available online 30 August 2020, Version of Record 1 November 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107620