Multiple attentional pyramid networks for Chinese herbal recognition

作者：

Highlights：

• A new Chinese-Herbs dataset is constructed, supporting the research of Chinese herbal recognition and machine learning.

• A new Attentional Pyramid Networks is proposed, where competitive attention and spatial collaborative attention are proposed.

• The proposed CA selectively emphasizes the features of different level whereas SCA quantifies the importance of each region.

• A framework with APN for Chinese herbal recognition is proposed. Experiment results verify the effectiveness of our methods.

摘要

•A new Chinese-Herbs dataset is constructed, supporting the research of Chinese herbal recognition and machine learning.•A new Attentional Pyramid Networks is proposed, where competitive attention and spatial collaborative attention are proposed.•The proposed CA selectively emphasizes the features of different level whereas SCA quantifies the importance of each region.•A framework with APN for Chinese herbal recognition is proposed. Experiment results verify the effectiveness of our methods.

论文关键词：Pyramid networks,Attention mechanism,Multi-scale features,Chinese herbal recognition,Chinese herbs image datasets

论文评审过程：Received 10 September 2019, Revised 23 May 2020, Accepted 20 July 2020, Available online 6 August 2020, Version of Record 25 September 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107558