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A Novel ST-YOLO Network for Steel-Surface-Defect Detection
Recent progress has been made in defect detection using methods based on deep learning, but there are still formidable obstacles. Defect images have rich semantic levels and diverse morphological features, and the model is dynamically changing due to ongoing learning. In response to these issues, th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675464/ https://www.ncbi.nlm.nih.gov/pubmed/38005538 http://dx.doi.org/10.3390/s23229152 |