Flower classification with modified multimodal convolutional neural networks

作者：

Highlights：

• We constructed a convolutional neural network model to use image and text together.

• We proposed new flower classification algorithm using a multi-view learning method.

• We proposed multimodal feature extraction framework in learned expression.

摘要

•We constructed a convolutional neural network model to use image and text together.•We proposed new flower classification algorithm using a multi-view learning method.•We proposed multimodal feature extraction framework in learned expression.

论文关键词：Multi-view learning,Deep learning,Image,Text,Data fusion,Classification

论文评审过程：Received 8 September 2019, Revised 1 April 2020, Accepted 13 April 2020, Available online 19 May 2020, Version of Record 29 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113455