bgpantojar / 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/)
☆11Updated 2 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:
- ☆24Updated 2 years ago
- Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Images☆36Updated last year
- CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery☆130Updated 2 years ago
- U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks☆15Updated 4 years ago
- A multi-stage road extraction method for surface and centerline detection☆95Updated last year
- Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation☆168Updated last year
- ☆22Updated 2 years ago
- 3d Deep learning on point cloud data of plants☆21Updated last year
- Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding☆182Updated 2 years ago
- This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented …☆14Updated 2 years ago
- This repository contains the code for our fast polygonal building extraction from overhead images pipeline.☆321Updated last year
- Split Depth-wise Separable Graph Convolution Network for Road Extraction in Complex Environment from High-resolution Remote Sensing Image…☆59Updated 3 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆220Updated 2 years ago
- ☆11Updated 3 months ago
- Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024☆202Updated 11 months ago
- ☆14Updated 2 years ago
- Superpixel-based Graph Convolutional Network for Semantic Segmentation☆37Updated 6 months ago
- ☆18Updated last year
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆60Updated last year
- Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"☆99Updated last year
- ☆42Updated 6 years ago
- Leonardo Citraro, Mateusz Kozinski, Pascal Fua, Towards Reliable Evaluation of Road Network Reconstructions, ECCV 2020☆10Updated 4 years ago
- ☆19Updated last year
- UAVidToolKit☆53Updated 4 years ago
- The official implementation of IEEE-TIP paper “Conditional Boundary Loss for Semantic Segmentation”☆18Updated last year
- PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images☆208Updated last year
- ☆28Updated 4 years ago
- Corn Point Cloud Deformation Tool☆11Updated 10 months ago
- Official codes of CVPR22 paper "CVNet: Contour Vibration Network for Building Extraction"☆31Updated 3 years ago
- ☆150Updated 9 months ago