lironber / GOADLinks
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
☆90Updated last year
Alternatives and similar repositories for GOAD
Users that are interested in GOAD are comparing it to the libraries listed below
Sorting:
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- A simple and effective method for single-class classification of images☆161Updated 4 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 3 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
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Visually Explainable VAE☆64Updated 5 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 6 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)