Weather recognition via classification labels and weather-cue maps

作者：

Highlights：

• The drawbacks of taking weather recognition as a simple image classification problem is analyzed.

• A new weather recognition form is proposed by integrating weather-cues and classification labels together.

• The intrinsic relationships between the weather label and weather-cues are explored.

• Two weather recognition datasets (two weather classes and five weather classes) are constructed.

摘要

•The drawbacks of taking weather recognition as a simple image classification problem is analyzed.•A new weather recognition form is proposed by integrating weather-cues and classification labels together.•The intrinsic relationships between the weather label and weather-cues are explored.•Two weather recognition datasets (two weather classes and five weather classes) are constructed.

论文关键词：Weather recognition,Weather-cue map,Multi-task framework

论文评审过程：Received 10 June 2018, Revised 16 March 2019, Accepted 24 June 2019, Available online 25 June 2019, Version of Record 4 July 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.06.017