jingxiaoliu / bridge-damage-segmentation
A hierarchical semantic segmentation framework for computer-vision-based bridge column damage detection
☆15Updated last year
Alternatives and similar repositories for bridge-damage-segmentation:
Users that are interested in bridge-damage-segmentation are comparing it to the libraries listed below
- The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for c…☆31Updated 4 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 4 years ago
- Road crack detection project based on NestedUnet model☆20Updated 3 years ago
- For data recovery of Structural Health Monitoring☆10Updated last year
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆52Updated 4 months ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆52Updated last year
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆40Updated 2 years ago
- This repo contains the 3D implementation of the commonly used attention mechanism for imaging.☆46Updated 2 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance☆13Updated 5 years ago
- Concrete crack detection for structural inspection.☆38Updated last year
- This project was undertaken as a part of evaluation process at Xcaliber Infotech while I was interviewing there☆13Updated 5 years ago
- ☆23Updated 3 years ago
- Toolkit for dacl10k dataset (dacl-challenge at WACV2024)☆28Updated 3 months ago
- ☆40Updated last year
- A Unet based modified architecture for crack detection☆42Updated 4 years ago
- crack segmentation☆17Updated 2 years ago
- ☆10Updated last year
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- ☆18Updated 4 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆40Updated 7 months ago
- Python package for 3D convolutional layers using Kolmogorov-Arnold Network (KAN)☆13Updated 11 months ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆84Updated 6 years ago
- A method to calculate the width of a binary image as described in:☆24Updated last year
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆58Updated 10 months ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated last year
- ☆9Updated 11 months ago
- A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.☆9Updated 4 years ago
- ☆14Updated 8 years ago
- Hybrid-Segmentor: Hybrid Approach for Automated Fine-Grained Crack Segmentation in Civil Infrastructure☆30Updated 3 months ago