marco-rudolph / differnet
This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.
☆220Updated last year
Alternatives and similar repositories for differnet:
Users that are interested in differnet are comparing it to the libraries listed below
- PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"☆240Updated 2 years ago
- This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco …☆113Updated last year
- PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"☆133Updated 3 years ago
- Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizi…☆246Updated last year
- Unofficial implementation of PatchCore anomaly detection☆328Updated 2 years ago
- ☆251Updated 4 years ago
- unoffical and work in progress PyTorch implementation of CutPaste☆240Updated 8 months ago
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆124Updated 4 years ago
- This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”…☆413Updated last year
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆182Updated last month
- Repository for the Explainable Deep One-Class Classification paper☆227Updated last year
- Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020☆100Updated 2 years ago
- an implementation of the architecture of FastFlow (Jiawei Yu et al.)☆41Updated 2 years ago
- Vanilla torch and timm industrial knn-based anomaly detection for images.☆149Updated 3 months ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆93Updated 2 years ago
- ☆137Updated last year
- This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.☆282Updated 2 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆86Updated 4 years ago
- Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection☆79Updated 3 years ago
- Anomaly detection method that incorporates multi-scale features to sparse coding☆46Updated 4 years ago
- Source code for Skip-GANomaly paper☆193Updated 2 years ago
- PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization☆35Updated 3 years ago
- Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆25Updated 2 years ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆93Updated 4 years ago
- Reconstruction by Inpainting Based Anomaly Detection☆66Updated 3 years ago
- Anomaly Detection via Reverse Distillation from One-Class Embedding☆194Updated last year
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆115Updated 2 years ago
- ☆106Updated 2 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆91Updated 5 months ago
- This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.☆45Updated 3 years ago