rohban-lab / Salehi_submitted_2020
This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust autoencoder.
☆19Updated 2 years ago
Alternatives and similar repositories for Salehi_submitted_2020:
Users that are interested in Salehi_submitted_2020 are comparing it to the libraries listed below
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆38Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 8 months ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆44Updated 2 years ago
- ☆14Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- ☆51Updated 10 years ago
- A Python Package for Deep Imbalanced Learning☆54Updated 2 weeks ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 6 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 4 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆42Updated 2 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆64Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 2 years ago
- A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification☆35Updated 3 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 8 months ago
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆54Updated 6 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Deep One-Class Classification using Intra-Class Splitting☆14Updated 5 years ago
- ☆17Updated last year
- Try Openmax with MNIST Fashion dataset☆11Updated 6 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 3 years ago
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆19Updated 3 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆61Updated 2 years ago