ShuaiLYU / A_surface_defect_detection_based_on_positive_samplesView external linksLinks
generate randomly defects on positive samples and restore them with GAN.
☆41Nov 19, 2020Updated 5 years ago
Alternatives and similar repositories for A_surface_defect_detection_based_on_positive_samples
Users that are interested in A_surface_defect_detection_based_on_positive_samples are comparing it to the libraries listed below
Sorting:
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆43May 7, 2020Updated 5 years ago
- ☆12Jun 14, 2022Updated 3 years ago
- Unsupervised-Defect-Segmentation anomaly detection☆30Oct 21, 2019Updated 6 years ago
- An unsupervised impurities detection method based on VAE-GAN☆11Apr 6, 2020Updated 5 years ago
- NEU Surface defect classification with ResNet.☆15Jul 4, 2023Updated 2 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…☆87Feb 5, 2020Updated 6 years ago
- Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection☆33Aug 9, 2025Updated 6 months ago
- ☆12Sep 28, 2024Updated last year
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆129Jul 27, 2020Updated 5 years ago
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆36Aug 21, 2025Updated 5 months ago
- Surface Defect Detection with Segmentation-Decision Network on KolektorSDD☆142Jun 24, 2021Updated 4 years ago
- 天池比赛-铝型材表面瑕疵识别的实现；Pytorch；finetune renet;☆15Oct 27, 2018Updated 7 years ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆26Jan 22, 2024Updated 2 years ago
- [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images. The original …☆14Jun 7, 2024Updated last year
- MoEAD is a parameter efficient model for multi class anomaly detection☆35Dec 20, 2024Updated last year
- ☆160Feb 2, 2022Updated 4 years ago
- UAD algorithms, include padim, stfpm, patchcore and ours local coreset☆14Feb 26, 2024Updated last year
- Metal Surface Defect for Few-shot Classification Using Graph Embedding and Optimal Transport(IEEE TIM)☆16Dec 4, 2022Updated 3 years ago
- new cycleGAN which has two discriminators: D_class and D_defect☆10Jun 19, 2019Updated 6 years ago
- ☆56Sep 7, 2023Updated 2 years ago
- a baseline for defect segmentation☆30Jun 14, 2020Updated 5 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆96Jul 4, 2022Updated 3 years ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆146Sep 1, 2025Updated 5 months ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Dec 14, 2018Updated 7 years ago
- DCGAN model to generate metal surface defect images☆14Oct 28, 2021Updated 4 years ago
- defect detection algorithm☆145May 30, 2023Updated 2 years ago
- 🔬Multi-defect microscopy image restoration under limited data conditions☆18Nov 20, 2022Updated 3 years ago
- A U-Net based model for surface defect detection☆13Dec 19, 2018Updated 7 years ago
- PatchCore method for Industrial Anomaly Detection + CLIP☆41Aug 28, 2024Updated last year
- ☆17Dec 17, 2018Updated 7 years ago
- SOD-YOLO (Small Object Detection YOLO) builds upon the foundational YOLOv8 model to address the unique challenges of detecting small obje…☆32Jun 16, 2024Updated last year
- An unofficial implementation using Pytorch for "Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types". Improve the…☆18Nov 17, 2023Updated 2 years ago
- AIFT2019-Real-time fabric defect segmentation based on convolutional neural network☆34Nov 23, 2019Updated 6 years ago
- This is an unofficial implementation of the paper "Towards Total Recall in Industrial Anomaly Detection".☆24Jan 23, 2024Updated 2 years ago
- This is an unofficial implementation of the paper "Sub-Image Anomaly Detection with Deep Pyramid Correspondences".☆22Sep 24, 2023Updated 2 years ago
- Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.☆19Mar 30, 2019Updated 6 years ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆41Mar 5, 2024Updated last year
- Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection☆83Jun 29, 2021Updated 4 years ago
- ☆83Jan 26, 2024Updated 2 years ago