Acknowledgement
This research is partially supported by Institute of Information and Telecommunication Technology of KNU.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2021.10a
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- Pages.557-558
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- 2021
Novel Image Classification Method for Small Dataset
작은 데이터 세트에 대한 새로운 이미지 분류 방법
- Shin, Seong-Yoon (Kunsan Natl. University) ;
- Lee, Hyun-Chang (Wonkwang University) ;
- Shin, Kwang-Seong (Wonkwang University) ;
- Kim, Hyung-Jin (Jeonbuk Natl. University) ;
- Lee, Jae-Wan (Kunsan Natl. University)
- Published : 2021.10.03
Abstract
In this paper, we propose a new image classification method based on Convolutional Neural Network (CNN), which is mainly used to solve model overfitting and non-convergence and to improve classification accuracy in image classification tasks on small datasets.
본 논문에서는 소규모 데이터 세트의 이미지 분류 작업에서 모델 과적합 및 비수렴을 해결하고 분류 정확도를 향상시키는 데 주로 사용되는 CNN(Convolutional Neural Network) 기반의 새로운 이미지 분류 방법을 제안한다.