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/)
☆14Updated 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,…☆62Updated last year
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆55Updated last month
- ☆38Updated 6 years ago
- ☆48Updated last year
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆62Updated 10 months ago
- 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☆241Updated 2 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆88Updated 6 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆45Updated last year
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆312Updated 2 years ago
- Concrete crack detection for structural inspection.☆40Updated 2 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆188Updated 10 months ago
- An application FCN for crack recogntion using tensorflow☆51Updated 7 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆24Updated 6 years ago
- An application of CNN for crack detection using Caffe☆11Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆157Updated last year
- This project aims at the problem of road surface image denoising and crack recognition by using embedded camera. Using Gaussian filter to…☆14Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆260Updated 2 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆91Updated 9 months ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 4 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆291Updated 10 months ago
- crack segmentation☆19Updated 2 years ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated 2 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…☆43Updated 3 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆421Updated last year
- ☆24Updated 2 years ago
- ☆26Updated 4 years ago
- Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image co…☆88Updated last year
- Training dataset for Crack Detection☆31Updated 6 years ago
- Code for "From classification to segmentation with explainable AI: A study on crack detection and growth monitoring" (Automation in Const…☆15Updated 4 months ago