liznerski / fcdd
Repository for the Explainable Deep One-Class Classification paper
☆231Updated last year
Alternatives and similar repositories for fcdd
Users that are interested in fcdd are comparing it to the libraries listed below
Sorting:
- ☆253Updated 4 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆184Updated 5 months ago
- This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows"…☆223Updated 2 years ago
- Source code for Skip-GANomaly paper☆194Updated 2 years ago
- PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"☆244Updated 2 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆96Updated 2 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆93Updated 9 months ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆85Updated 4 years ago
- Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizi…☆257Updated last year
- Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020☆102Updated 2 years ago
- unoffical and work in progress PyTorch implementation of CutPaste☆249Updated last year
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆126Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆118Updated 9 months ago
- Unofficial implementation of PatchCore anomaly detection☆336Updated 2 years ago
- This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.☆286Updated 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 2 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"☆136Updated 4 years ago
- ☆155Updated last year
- ☆87Updated 6 months ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆123Updated 3 years ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆97Updated 4 years ago
- an implementation of the architecture of FastFlow (Jiawei Yu et al.)☆41Updated 3 years ago
- This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”…☆428Updated last year
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆346Updated 2 years ago
- Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection☆80Updated 3 years ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- Implementation of f-AnoGAN with PyTorch☆152Updated 2 years ago
- ☆26Updated last year