Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 776–800 of 4856 papers

Title	Date	Tasks	Status	Hype
Deep One-Class Classification via Interpolated Gaussian Descriptor	Jan 25, 2021	Anomaly DetectionClassification	CodeCode Available	1
Iterative weak/self-supervised classification framework for abnormal events detection	Jan 3, 2021	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling	Jan 1, 2021	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Unsupervised Anomaly Detection by Robust Collaborative Autoencoders	Jan 1, 2021	Anomaly DetectionMissing Values	CodeCode Available	1
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection	Jan 1, 2021	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Dynamic Graph-Based Anomaly Detection in the Electrical Grid	Dec 30, 2020	Anomaly Detection	CodeCode Available	1
Graph Convolutional Networks for traffic anomaly	Dec 25, 2020	Anomaly DetectionEvent Detection	CodeCode Available	1
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs	Dec 23, 2020	Anomaly DetectionArticles	CodeCode Available	1
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments	Dec 15, 2020	Anomaly Detection	CodeCode Available	1
GAN Ensemble for Anomaly Detection	Dec 14, 2020	Anomaly Detection	CodeCode Available	1
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation	Dec 13, 2020	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
Intrinsic persistent homology via density-based metric learning	Dec 11, 2020	Anomaly DetectionMetric Learning	CodeCode Available	1
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection	Dec 9, 2020	Anomaly DetectionClassification	CodeCode Available	1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification	Dec 9, 2020	Anomaly DetectionAtrial Fibrillation Detection	CodeCode Available	1
HRN: A Holistic Approach to One Class Learning	Dec 1, 2020	Anomaly Detectionimage-classification	CodeCode Available	1
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding	Nov 28, 2020	Anomaly DetectionChange Point Detection	CodeCode Available	1
Unsupervised anomaly segmentation via deep feature reconstruction	Nov 26, 2020	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach	Nov 26, 2020	Anomaly Detection	CodeCode Available	1
Multiresolution Knowledge Distillation for Anomaly Detection	Nov 22, 2020	Anomaly DetectionAnomaly Localization	CodeCode Available	1
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization	Nov 17, 2020	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Combining GANs and AutoEncoders for Efficient Anomaly Detection	Nov 16, 2020	Adversarial AttackAnomaly Detection	CodeCode Available	1
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning	Nov 15, 2020	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Building an Automated and Self-Aware Anomaly Detection System	Nov 10, 2020	Anomaly DetectionTime Series	CodeCode Available	1
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams	Nov 9, 2020	Anomaly DetectionAnomaly Detection in Edge Streams	CodeCode Available	1
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples	Nov 5, 2020	Anomaly DetectionBinary Classification	CodeCode Available	1

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified