Research Article
Lightweight Deep Learning Model for Invoice Image Classification
@INPROCEEDINGS{10.4108/eai.27-8-2020.2295049, author={run wang and Chonghu Cheng and Yang Meng and Yingyi Sun and Jie Yang and Guan Gui}, title={Lightweight Deep Learning Model for Invoice Image Classification}, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={image classification deep learning convolutional neural network computer vision}, doi={10.4108/eai.27-8-2020.2295049} }
- run wang
Chonghu Cheng
Yang Meng
Yingyi Sun
Jie Yang
Guan Gui
Year: 2020
Lightweight Deep Learning Model for Invoice Image Classification
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2295049
Abstract
Deep learning based image classification usually needs a large amount of data and computing resources to achieve better classification results. Hence, image classification for small data sets has attracted more and more attention in recent years. we proposed a lightweight deep learning model in this paper, which can be used for image classification on small datasets. The experimental results show that this model can achieve high accuracy classification with small data sets.
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