Scene recognition: A comprehensive survey
作者：
Highlights：
• A comprehensive survey on scene recognition is presented.
• Existing scene recognition algorithms are reviewed in the light of feature transformation.
• The relations between various scene recognition algorithms are explored.
• Current benchmarks of different methods are presented and analyzed for comparison.
• Potential problems and future directions are identified.
摘要
•A comprehensive survey on scene recognition is presented.•Existing scene recognition algorithms are reviewed in the light of feature transformation.•The relations between various scene recognition algorithms are explored.•Current benchmarks of different methods are presented and analyzed for comparison.•Potential problems and future directions are identified.
论文关键词：Scene recognition,Patch feature encoding,Spatial layout pattern learning,Discriminative region detection,Convolutional neural networks,Deep learning
论文评审过程：Received 17 April 2019, Revised 18 December 2019, Accepted 11 January 2020, Available online 15 January 2020, Version of Record 23 January 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107205
