crack-detection topic
DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
DeepCrack
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
crack-detection-opencv
Crack Detection On Highway Or Pavement Using OpenCV
DeepLearning-ConcreteDataset
Training dataset for Crack Detection
tensorflow-crack-classification
CNN for crack classification, intended for use in a crack inspection pipeline (see references).
Crack-segmentation
This repo contains customized deep learning models for segmenting cracks.
CSSR
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Awa...