An Optimized Hybrid Transformer for Enhanced Ultra-Fine-Grained Thin Sections Categorization via Integrated Region-to-Region and Token-to-Token Approaches
The analysis of thin sections for lithology identification is a staple technique in geology. Although recent strides in deep learning have catalyzed the development of models for thin section recognition leveraging varied deep neural networks, there remains a substantial gap in the identification of...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/13/7853 |