A lightweight network model for vitrinite submaceral recognition embedded with an improved attention mechanism
In order to improve the recognition accuracy of coal vitrinite macerals and performance of recognition model, reduce the manual intervention in the training of recognition model, a lightweight deep learning network model for coal vitrinite submaceral recognition, which is embedded with an improved a...
Main Authors: | , , , , , |
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Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of China Coal Society
2023-09-01
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Series: | Meitan xuebao |
Subjects: | |
Online Access: | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2022.1452 |