CMF-Net: a lightweight multi-scale feature fusion network for early small fire detection in coal mines
Abstract Early small fires in coal mines are of critical importance for mine safety, as most incidents begin as small fire sources. These fires essentially constitute a task of small-object detection. Detecting such targets is difficult due to harsh underground conditions, including poor lighting, s...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2026-02-01
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| Серии: | Journal of King Saud University: Computer and Information Sciences |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s44443-026-00571-3 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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