ccc-frankfurt / meta-learning-CODEBRIM
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset": https://arxiv.org/abs/1904.08486
☆28Updated 4 years ago
Alternatives and similar repositories for meta-learning-CODEBRIM:
Users that are interested in meta-learning-CODEBRIM are comparing it to the libraries listed below
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆71Updated 5 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆64Updated 3 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- 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
- All in one cracks segmentation dataset()☆35Updated 6 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 5 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- Deep Learning Model for Crack Detection and Segmentation☆150Updated 9 months ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆83Updated 6 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆277Updated last year
- Repository for all the stuff related with road pavements defect segmentation. Main idea behind the segmentation is to create/approve/test…☆18Updated 3 years ago
- Building Inspection Toolkit☆21Updated last year
- A Unet based modified architecture for crack detection☆42Updated 4 years ago
- ☆24Updated 4 years ago
- ☆23Updated 3 years ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆80Updated 5 years ago
- ☆59Updated 7 years ago
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆69Updated 2 months ago
- ☆16Updated 6 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…☆41Updated 2 years ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆236Updated last year
- Can you detect and classify defects in steel? Segmentation in Pytorch☆63Updated 4 years ago
- Road Damage Detection Challenge (IEEE Big Data Cup 2020)☆22Updated 3 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆169Updated 3 months ago
- Concrete crack detection for structural inspection.☆38Updated last year
- Rotation RetinaNet for arbitrary-oriented object detection.☆81Updated 2 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆191Updated 4 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆58Updated 3 years ago