mala-lab / deviation-network-imageLinks
Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.
☆88Updated 3 years ago
Alternatives and similar repositories for deviation-network-image
Users that are interested in deviation-network-image are comparing it to the libraries listed below
Sorting:
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆96Updated last year
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆69Updated 3 months ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆117Updated last year
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆127Updated 3 years ago
- ☆91Updated last year
- ☆56Updated 4 years ago
- ☆162Updated 2 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆91Updated 3 years ago
- Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.☆52Updated last year
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆87Updated 5 years ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆37Updated 2 years 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…☆59Updated 4 years ago
- This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)☆49Updated 4 years ago
- A Vision Transformer Network for Image Anomaly Detection and Localization☆119Updated 3 months ago
- Repository for the Explainable Deep One-Class Classification paper☆237Updated 2 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆96Updated 3 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆185Updated last year
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆101Updated 5 years ago
- ☆91Updated 2 years ago
- Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”☆39Updated 2 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆62Updated 6 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆67Updated 5 years ago
- Reconstruction by Inpainting Based Anomaly Detection☆70Updated 5 years ago
- [TIP 2023] Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection☆51Updated 3 years ago
- Unsupervised-Defect-Segmentation anomaly detection☆30Updated 6 years ago
- This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.☆45Updated 4 years ago
- List of implementation of SOTA deep anomaly detection methods☆109Updated 4 years ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆82Updated last year
- ☆118Updated 3 years ago
- This is the implementation of our paper in ECCV 2020.☆66Updated 4 years ago