fvmassoli / mocca-anomaly-detection
Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'
☆10Updated 3 years ago
Alternatives and similar repositories for mocca-anomaly-detection
Users that are interested in mocca-anomaly-detection are comparing it to the libraries listed below
Sorting:
- ☆87Updated 6 months ago
- ☆54Updated 4 years ago
- unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…☆72Updated 4 years ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆93Updated 9 months ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆65Updated last year
- ☆157Updated 2 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- ☆79Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆118Updated 9 months ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆85Updated 4 years ago
- This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)☆49Updated 3 years ago
- PFM and PEFM for Image Anomaly Detection and Segmentation☆37Updated last year
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆87Updated 2 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆96Updated 2 years ago
- A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.☆37Updated 3 years ago
- ☆47Updated 3 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆88Updated 3 years ago
- Unsupervised-Defect-Segmentation anomaly detection☆30Updated 5 years ago
- Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network☆134Updated 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…☆60Updated 3 years ago
- This is the implementation of our paper in ECCV 2020.☆65Updated 3 years ago
- ☆110Updated 2 years ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆97Updated 4 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆123Updated 3 years ago
- Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆27Updated 3 years ago
- Reconstruction by Inpainting Based Anomaly Detection☆70Updated 4 years ago
- Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.☆96Updated 2 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.☆353Updated 6 months ago