How to use Bag-of-Words model better for image classification
作者：
Highlights：
• We empirically study coding and pooling under a large range of vocabulary sizes.
• We provide detailed application guidelines to use BoW in practical applications.
• Combined with average pooling, most coding methods are comparable.
• The best performance of max pooling is better than the one of average pooling.
• A saturant point exists in maximum pooling.
摘要
•We empirically study coding and pooling under a large range of vocabulary sizes.•We provide detailed application guidelines to use BoW in practical applications.•Combined with average pooling, most coding methods are comparable.•The best performance of max pooling is better than the one of average pooling.•A saturant point exists in maximum pooling.
论文关键词：Image classification,Bag-of-Words,Visual vocabulary,Coding,Pooling
论文评审过程：Received 17 February 2014, Revised 18 September 2014, Accepted 28 October 2014, Available online 4 December 2014, Version of Record 21 May 2015.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.10.013
