MrtnMndt / meta-learning-CODEBRIMLinks
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".
☆77Updated 5 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
Sorting:
- ☆335Updated 8 years ago
- ☆61Updated 7 years ago
- This repo contains customized deep learning models for segmenting cracks.☆51Updated 4 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆202Updated 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…☆67Updated 3 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆29Updated 4 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 5 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…☆85Updated 5 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆64Updated last year
- Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"☆196Updated 6 years ago
- ☆383Updated 7 months ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- Deep Learning Model for Crack Detection and Segmentation☆161Updated last year
- ☆120Updated 4 years ago
- ☆47Updated 3 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆71Updated last month
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆63Updated 3 years ago
- ☆24Updated 6 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆418Updated last year
- A toolbox for object skeleton detection, can also be used for edge detection, building extraction and road extraction. TIP (2021)☆139Updated 2 years ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆257Updated 2 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…☆34Updated 5 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆24Updated 6 years ago
- defect detection algorithm☆141Updated 2 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆55Updated 4 years ago
- Pavement surface crack datasets for DL based crack detection☆61Updated 3 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆308Updated last year
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆275Updated last month
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆25Updated 10 months ago