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Abstract: In this paper, we adopt the U-Net model in deep learning for wall crack recognition and detection, which performs exceptionally well in this field. The U-Net model utilizes its unique ...
Reference: Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks (Young-Jin Cha & Wooram Choi) This python code outlines step by step, the training and testing of a deep ...
Abstract: This paper presents an investigation of the effectiveness of a Machine Deep Learning ... present a DL model based on CNN to study the effectiveness of modern machine vision methods on an old ...
In this paper, an automatic image-based crack detection algorithm for pavement crack detection using deep learning techniques is proposed. The data set was obtained from various road surfaces of ...
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