Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization

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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Bibliographic Details
Main Authors: Haidhi Angkawijana Tedja, Onno W. Purbo
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-12-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
ghost u-net
image segmentation
memory efficiency
quantization
u-net
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6089
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