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Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization

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Deep learning-based automated image segmentation for concrete petrographic analysis

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A State-of-the-Art Survey on Deep Learning Theory and Architectures

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Image‐based concrete crack assessment using mask and region‐based convolutional neural network

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding

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Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

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Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data

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Automated Detection and Measurement of Cracks in Reinforced Concrete Components

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Computer vision techniques for construction safety and health monitoring

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Automated image processing technique for detecting and analysing concrete surface cracks

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Damage assessment for concrete structure using image processing techniques on acoustic borehole imagery

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