Fast and lightweight automatic lithology recognition based on efficient vision transformer network
Traditional methods of lithological classification often rely on the expertise of appraisers and the use of sophisticated measuring instruments. These methods are susceptible to staff experience and are time-consuming. To overcome these limitations, researchers have explored the use of rock images a...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Solid Earth Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451912X24000175 |
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