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25 May 2023 Research on image classification mechanism based on self-supervised learning
Wen Zhou, Jingyi Yang, Hanyu Meng, Yi Shi, Le Luo
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Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126360F (2023) https://doi.org/10.1117/12.2675246
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
Image classification is an essential method to dispose the practical issues including the medical image classification, detection of objectives and process downstream tasks. However, current researchers has utilized the neural network or machine learning model to classify the images based on the image characteristic, which is extremely relies the obtained image data and the training model is a black box. Inspired by the supervised learning algorithm, we proposed a novel self-supervised structure to classify the image data-set. The model structure is consisted of three primary operations including three layers of random transformation, a main neural network layer and prediction layer. In this paper, we specifically demonstrate each components and test our model on a written number data-set. From our extensive experimental results, our proposed mechanism can identify the correct labels in image data-set with acceptable accuracy and reasonable computation cost.
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Wen Zhou, Jingyi Yang, Hanyu Meng, Yi Shi, and Le Luo "Research on image classification mechanism based on self-supervised learning", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126360F (25 May 2023); https://doi.org/10.1117/12.2675246
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KEYWORDS
Data modeling
Machine learning
Image classification
Education and training
Neural networks
Image processing
Performance modeling
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