Transfer learning approach for classification and noise reduction on noisy web data
作者：
Highlights：
• Gathering an unsupervised image dataset of vehicle models from a marketing site.
• Studying the behavior of six deep networks using the transfer learning method.
• Discarding the external noise of the dataset using Isolation Forest method.
• Demonstrating that a high recognition accuracy is attainable with the given method.
• Providing an android application in which the proposed approach is implemented.
摘要
•Gathering an unsupervised image dataset of vehicle models from a marketing site.•Studying the behavior of six deep networks using the transfer learning method.•Discarding the external noise of the dataset using Isolation Forest method.•Demonstrating that a high recognition accuracy is attainable with the given method.•Providing an android application in which the proposed approach is implemented.
论文关键词：Convolutional Neural Networks,Transfer learning,Vehicle recognition,Noisy dataset,Isolation forest
论文评审过程：Received 3 December 2017, Revised 21 March 2018, Accepted 22 March 2018, Available online 26 March 2018, Version of Record 24 April 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.042
