Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild

作者：

Highlights：

• Evaluation of local descriptors for GC in The Images of Groups dataset

• Broad evaluation of GC in cross-database scenarios

• Comparison with CNN

• Fusion of local descriptors and CNN

• Achieving state of the art accuracies in large in the wild datasets

摘要

•Evaluation of local descriptors for GC in The Images of Groups dataset•Broad evaluation of GC in cross-database scenarios•Comparison with CNN•Fusion of local descriptors and CNN•Achieving state of the art accuracies in large in the wild datasets

论文关键词：Gender classification,Local descriptors,HOG,LBP,LSP,LOSIB,Information fusion,Face local context,Cross-database,CNN

论文评审过程：Received 1 August 2015, Revised 22 June 2016, Accepted 18 October 2016, Available online 15 November 2016, Version of Record 30 November 2016.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.10.004