PLANET: Improved Convolutional Neural Networks with Image Enhancement for Image Classification
Joint Authors
Niu, Xinzheng
Tang, Chaohui
Wu, Wenjun
Huang, Wenlin
Hong, Chaoqun
Zhu, Qingxin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In the past few years, deep learning has become a research hotspot and has had a profound impact on computer vision.
Deep CNN has been proven to be the most important and effective model for image processing, but due to the lack of training samples and huge number of learning parameters, it is easy to tend to overfit.
In this work, we propose a new two-stage CNN image classification network, named “Improved Convolutional Neural Networks with Image Enhancement for Image Classification” and PLANET in abbreviation, which uses a new image data enhancement method called InnerMove to enhance images and augment the number of training samples.
InnerMove is inspired by the “object movement” scene in computer vision and can improve the generalization ability of deep CNN models for image classification tasks.
Sufficient experiment results show that PLANET utilizing InnerMove for image enhancement outperforms the comparative algorithms, and InnerMove has a more significant effect than the comparative data enhancement methods for image classification tasks.
American Psychological Association (APA)
Tang, Chaohui& Zhu, Qingxin& Wu, Wenjun& Huang, Wenlin& Hong, Chaoqun& Niu, Xinzheng. 2020. PLANET: Improved Convolutional Neural Networks with Image Enhancement for Image Classification. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193065
Modern Language Association (MLA)
Tang, Chaohui…[et al.]. PLANET: Improved Convolutional Neural Networks with Image Enhancement for Image Classification. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1193065
American Medical Association (AMA)
Tang, Chaohui& Zhu, Qingxin& Wu, Wenjun& Huang, Wenlin& Hong, Chaoqun& Niu, Xinzheng. PLANET: Improved Convolutional Neural Networks with Image Enhancement for Image Classification. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193065