Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models

Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models

Metal corrosion detection is essential for ensuring structural safety and minimizing economic losses. While deep learning (DL)-based image segmentation has improved corrosion detection accuracy and efficiency, its high computational demands hinder deployment on resource-constrained edge devices. Thi...

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Bibliographic Details
Main Authors: Vincent F. Yu, Gemilang Santiyuda, Shih-Wei Lin, Udjianna S. Pasaribu, Yuli Sri Afrianti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computer vision
deep learning
image segmentation
metal corrosion
pruning
Online Access:https://ieeexplore.ieee.org/document/10969780/
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https://ieeexplore.ieee.org/document/10969780/

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