Anomaly Detection

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435 papers with code • 19 benchmarks • 32 datasets

Anomaly Detection, Anomaly Segmentation, Novelty Detection, Out-of-Distribution Detection

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Dataset	Best Model	Paper Title	Compare
MVTec AD	PatchCore	Towards Total Recall in Industrial Anomaly Detection	See all
One-class CIFAR-10	Mean-Shifted Contrastive Loss	Mean-Shifted Contrastive Loss for Anomaly Detection	See all
Numenta Anomaly Benchmark	HTM AL	Unsupervised real-time anomaly detection for streaming data	See all
One-class CIFAR-100	Mean-Shifted Contrastive Loss	Mean-Shifted Contrastive Loss for Anomaly Detection	See all
One-class ImageNet-30	CSI	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances	See all
Unlabeled CIFAR-10 vs CIFAR-100	CSI	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances	See all
CIFAR-100	Pretrained ImageNet + KNN	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation	See all
Fashion-MNIST	GAN based Anomaly Detection in Imbalance Problems	GAN-based Anomaly Detection in Imbalance Problems	See all
CIFAR-10	GAN based Anomaly Detection in Imbalance Problems	GAN-based Anomaly Detection in Imbalance Problems	See all
Cats-and-Dogs	Self-Supervised One-class SVM, RBF kernel	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation	See all
DIOR	Self-Supervised One-class SVM, RBF kernel	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation	See all
Surface Defect Saliency of Magnetic Tile	DifferNet (unsupervised)	Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows	See all
Census	DevNet	Deep Anomaly Detection with Deviation Networks	See all
Thyroid	DevNet	Deep Anomaly Detection with Deviation Networks	See all
MNIST-test	OGNET	Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm	See all
AG News	DATE	DATE: Detecting Anomalies in Text via Self-Supervision of Transformers	See all
MNIST	DASVDD	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	See all
ASSIRA Cat Vs Dog	Shell-based Anomaly (supervisered)	Shell Theory: A Statistical Model of Reality	See all
STL-10	Shell-based Anomaly (supervised)	Shell Theory: A Statistical Model of Reality	See all

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Datasets

Subtasks

Group Anomaly Detection

Self-Supervised Anomaly Detection

Contextual Anomaly Detection

Unsupervised Anomaly Detection In Sound

Greatest papers with code

Temporal Cycle-Consistency Learning

google-research/google-research • • CVPR 2019

We introduce a self-supervised representation learning method based on the task of temporal alignment between videos.

Ranked #1 on Video Alignment on UPenn Action

Anomaly Detection Representation Learning +2

18,577

Paper
Code

Dlib-ml: A Machine Learning Toolkit

davisking/dlib • 1 Jan 2009

There are many excellent toolkits which provide support for developing machine learning software in Python, R, Matlab, and similar environments.

Ranked #14 on Face Verification on Labeled Faces in the Wild

Anomaly Detection Face Verification

10,392

Paper
Code

PyOD: A Python Toolbox for Scalable Outlier Detection

yzhao062/pyod • • 6 Jan 2019

PyOD is an open-source Python toolbox for performing scalable outlier detection on multivariate data.

Anomaly Detection outlier ensembles

4,685

Paper
Code

Learning Retrospective Knowledge with Reverse Reinforcement Learning

ShangtongZhang/DeepRL • • NeurIPS 2020

We present a Reverse Reinforcement Learning (Reverse RL) approach for representing retrospective knowledge.

Anomaly Detection Representation Learning

2,521

Paper
Code

DeepWalk: Online Learning of Social Representations

williamleif/GraphSAGE • • 26 Mar 2014

We present DeepWalk, a novel approach for learning latent representations of vertices in a network.

Ranked #3 on Node Classification on Wikipedia

Anomaly Detection Language Modelling +1

2,411

Paper
Code

Large-Scale Intelligent Microservices

Azure/mmlspark • 17 Sep 2020

Deploying Machine Learning (ML) algorithms within databases is a challenge due to the varied computational footprints of modern ML algorithms and the myriad of database technologies each with its own restrictive syntax.

Anomaly Detection

2,381

Paper
Code

Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series

awslabs/gluon-ts • • 21 Jun 2021

This work proposes a novel method to robustly and accurately model time series with heavy-tailed noise, in non-stationary scenarios.

Anomaly Detection Time Series

2,030

Paper
Code

GluonTS: Probabilistic Time Series Models in Python

awslabs/gluon-ts • • 12 Jun 2019

We introduce Gluon Time Series (GluonTS, available at https://gluon-ts. mxnet. io), a library for deep-learning-based time series modeling.

Anomaly Detection Time Series +2

2,030

Paper
Code

Unsupervised real-time anomaly detection for streaming data

numenta/NAB • Neurocomputing 2017

We present results and analysis for a wide range of algorithms on this benchmark, and discuss future challenges for the emerging field of streaming analytics.

Ranked #1 on Anomaly Detection on Numenta Anomaly Benchmark

Anomaly Detection Time Series

1,449

Paper
Code

Real-Time Anomaly Detection for Streaming Analytics

numenta/NAB • 8 Jul 2016

Much of the worlds data is streaming, time-series data, where anomalies give significant information in critical situations.

Ranked #8 on Anomaly Detection on Numenta Anomaly Benchmark

Anomaly Detection Time Series

1,449

Paper
Code

Anomaly Detection Edit

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Greatest papers with code

Anomaly Detection

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