bond9779 / Defect-GAN
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Defect-GAN
- Unsupervised-Defect-Segmentation anomaly detection☆29Updated 5 years ago
- generate randomly defects on positive samples and restore them with GAN.☆38Updated 4 years ago
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆36Updated 4 years ago
- try VAE GANLoss + SSIM loss in anomaly Detection☆13Updated 4 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆24Updated 3 years ago
- Multiresolution Knowledge Distillation for Anomaly Detection，用于异常检测的多分辨率知识蒸馏☆15Updated 3 years ago
- Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation☆38Updated last year
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆59Updated 2 years ago
- A U-Net based model for surface defect detection☆14Updated 5 years ago
- ☆40Updated 2 years ago
- Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection☆79Updated 3 years ago
- Unofficial individual re-implementation for "MemSeg: A semi-supervised method for image surface defect detection using differences and co…☆37Updated 2 years ago
- This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'☆23Updated 4 years ago
- ☆53Updated 3 years ago
- ☆84Updated last week
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆90Updated 2 years ago
- ☆23Updated 3 years ago
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆22Updated 3 years ago
- Few-shot segmentation for industrail defect detection☆19Updated last year
- The proposed idea is to use convolutional neural network (CNN) to classify defects on the semiconductor wafer substrate. There are total …☆18Updated 3 years ago
- ☆22Updated 2 weeks ago
- shellysheynin / A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-DetectionOfficial pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detecti…☆56Updated 2 years ago
- Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence☆19Updated last year
- Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.☆19Updated 5 years ago
- A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.☆36Updated 2 years ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆33Updated last year
- SSGD(ICASSP2023)☆37Updated last year
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆60Updated 4 years ago
- This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)☆48Updated 2 years ago