lironber / GOAD
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
☆89Updated 9 months ago
Alternatives and similar repositories for GOAD:
Users that are interested in GOAD are comparing it to the libraries listed below
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 2 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆38Updated 4 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated 2 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 4 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 2 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 9 months ago
- ☆51Updated 2 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Anomaly detection for images☆13Updated 5 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆45Updated 3 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 5 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆181Updated 5 years ago
- ☆23Updated 5 years ago
- Visually Explainable VAE☆62Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Updated 4 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆281Updated last year
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago