Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization
This study presents a comprehensive comparison of U-Net and Ghost U-Net for road crack segmentation, emphasizing their performance and memory efficiency across various data representation formats, including FP32, FP16, and INT8 quantization. A dataset of 12,480 images was used, with preprocessing st...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Ikatan Ahli Informatika Indonesia
2024-12-01
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| Серии: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Предметы: | |
| Online-ссылка: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6089 |
| Метки: |
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