SongGuorong / MCITFLinks
⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features
☆36Updated 5 years ago
Alternatives and similar repositories for MCITF
Users that are interested in MCITF are comparing it to the libraries listed below
Sorting:
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆54Updated 4 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆70Updated 3 weeks ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆65Updated last year
- ☆46Updated 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…☆85Updated 5 years ago
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆42Updated 5 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from mu…☆56Updated 4 years ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- rail_surface_dataset☆25Updated 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…☆67Updated 3 years ago
- mobile phone screen surface defect segmentation (detection) dataset.☆59Updated 11 months ago
- [ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network☆37Updated 11 months ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆201Updated 5 years ago
- ☆61Updated 7 years ago
- ☆29Updated 3 years ago
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆25Updated 9 months ago
- Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation☆43Updated last month
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆120Updated 4 years ago
- ☆25Updated 4 years ago
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆23Updated last year
- ☆23Updated 4 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆75Updated 5 years ago
- PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, Google…☆56Updated last year
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- ☆12Updated 3 years ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆185Updated 2 years ago
- Context-aware Cross-level Fusion Network for Camouflaged Object Detection☆51Updated 2 years ago
- ☆24Updated 6 years ago
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆38Updated 3 weeks ago