Application of Semi-Supervised Mean Teacher to Rock Image Segmentation
Accurate segmentation of rock images is crucial for studying the internal structure and properties of rocks. To address the issue of requiring a large number of labeled images for model training in traditional image segmentation methods, this paper proposes an improved semi-supervised Mean Teacher...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Slovenian Society for Stereology and Quantitative Image Analysis
2025-03-01
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| Series: | Image Analysis and Stereology |
| Subjects: | |
| Online Access: | https://www.ias-iss.org/ojs/IAS/article/view/3279 |
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