adipandas / one-shot-steel-surfaces
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
☆41Updated 4 years ago
Alternatives and similar repositories for one-shot-steel-surfaces:
Users that are interested in one-shot-steel-surfaces are comparing it to the libraries listed below
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆56Updated 8 months ago
- DefectNet: Towards Fast and Effective Defect Detection☆22Updated 2 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
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 4 years ago
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆39Updated 4 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
- Metal Surface Defect Inspection through Deep Convolution Neural Network☆17Updated last year
- 基于PaddlePaddle框架的异常检测算法复现☆25Updated 2 years ago
- Steel defect detection intern project in PIRL(Postech information Research Laboratories)☆18Updated 5 years ago
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆126Updated 4 years ago
- Automatic Defect Inspection with End-to-End Deep Learning☆32Updated 5 years ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- ☆10Updated 2 years ago
- Unofficial implementation of PatchCore anomaly detection