eesd-epfl / topo_crack_detectionLinks
This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented in the paper ["TOPO-Loss for continuity-preserving crack detection using deep learning" by Pantoja-Rosero et., al. (2022)](https://www.sciencedirect.com/)
☆16Updated 3 years ago
Alternatives and similar repositories for topo_crack_detection
Users that are interested in topo_crack_detection are comparing it to the libraries listed below
Sorting:
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆67Updated last year
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆60Updated 4 months ago
- ☆38Updated 6 years ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆69Updated last year
- ☆51Updated 2 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆90Updated 6 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆26Updated 6 years ago
- Concrete crack detection for structural inspection.☆45Updated 2 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆333Updated 2 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆192Updated last year
- This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented …☆11Updated 3 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆252Updated 2 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆49Updated last year
- Code for "From classification to segmentation with explainable AI: A study on crack detection and growth monitoring" (Automation in Const…☆15Updated 6 months ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆94Updated 11 months ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆282Updated 2 years ago
- This repo contains customized deep learning models for segmenting cracks.☆51Updated 4 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆158Updated last year
- This project aims at the problem of road surface image denoising and crack recognition by using embedded camera. Using Gaussian filter to…☆15Updated 2 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆17Updated 3 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆299Updated last year
- An application FCN for crack recogntion using tensorflow☆53Updated 7 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆44Updated 3 years ago
- An application of CNN for crack detection using Caffe☆11Updated 5 years ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated 2 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆424Updated last year
- Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image co…☆93Updated last month
- Pavement surface crack datasets for DL based crack detection☆62Updated 3 years ago
- This is the available data for the paper `Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentati…☆17Updated 3 years ago
- Hybrid-Segmentor: Hybrid Approach for Automated Fine-Grained Crack Segmentation in Civil Infrastructure☆46Updated 6 months ago