Deep Learning for Crack-Like Object Detection

Deep Learning for Crack-Like Object Detection

Zhang, Kaige; Cheng, Heng-Da

Taylor & Francis Ltd

10/2024

100

Mole

9781032181196

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
Introduction. Crack Detection with Deep Classification Network. Crack Detection with Fully Convolutional Network. Crack Detection with Generative Adversarial Learning. Self-Supervised Structure Learning for Crack Detection. Deep Edge Computing. Conclusion and Discussion.
civil engineering;machine learning;data imbalance;defect detection;Deep learning;Crack Detection;Convolutional Layers;DCNN;Crack Image;Image Patches;Image Blocks;Parameter Pruning;Adversarial Learning;Classification Network;Convolutional Kernels;Object Detection;Structure Patches;Data Imbalance Problem;Parameter Quantization;Student Network;Teacher Network;Structure Library;Classification Net;Computing Acceleration;Ridge Regression;Convolution Layer;Deep Neural Networks;Pruning Method;Semantic Segmentation