DEVILENMO / Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-ArchitectureLinks
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
☆60Updated 5 months ago
Alternatives and similar repositories for Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture
Users that are interested in Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture are comparing it to the libraries listed below
Sorting:
- Deep Learning Based Steel Pipe Weld Defect Detection☆86Updated 3 years ago
- [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…☆58Updated last month
- We offer a collection of many dataset regarding surface-defect. Up to 24 dataset is listed in this repo.☆70Updated last month
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆104Updated 7 months ago
- [AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".☆120Updated 5 months ago
- [CVPR 2025] The official implementation of “UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly De…☆58Updated 2 weeks ago
- 使用AnoGAN实现一个缺陷检测小demo☆32Updated 2 years ago
- 基于卷积自编码器和图像金字塔的布料缺陷无监督学习与检测方法☆8Updated last year
- ☆189Updated 11 months ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆114Updated 4 years ago
- [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”☆116Updated last month
- unofficial version of EfficientAD☆139Updated last year
- Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"☆341Updated 3 months ago
- ☆177Updated last year
- Unofficial re-implementation of MemSeg for Anomaly Detection☆195Updated 11 months ago
- The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for de…☆76Updated last year
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆141Updated last year
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆24Updated last year
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆22Updated last year
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆66Updated 3 years ago
- mobile phone screen surface defect segmentation (detection) dataset.☆55Updated 7 months ago
- ☆22Updated 2 years ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆179Updated 6 months ago
- Image anomaly detection benchmark in industrial manufacturing☆139Updated 3 months ago
- ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…☆262Updated 4 months ago
- ☆82Updated last year
- ☆234Updated 2 years ago
- ☆508Updated 9 months ago
- Metal Parts Defect Detection Dataset☆32Updated 10 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆68Updated last year