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 901–925 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study	Apr 7, 2020	AnatomyAnomaly Detection	CodeCode Available	1	5
Anomaly Detection in Aerial Videos with Transformers	Sep 25, 2022	Anomaly Detection	CodeCode Available	1	5
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection	Jul 3, 2023	Anomaly DetectionImputation	CodeCode Available	1	5
An Attribute-based Method for Video Anomaly Detection	Dec 1, 2022	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1	5
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection	Dec 9, 2022	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1	5
Localizing Anomalies from Weakly-Labeled Videos	Aug 20, 2020	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection	Jun 7, 2024	Anomaly DetectionBinary Classification	CodeCode Available	1	5
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing	Jan 31, 2023	Anomaly DetectionContinual Learning	CodeCode Available	1	5
Implicit field learning for unsupervised anomaly detection in medical images	Jun 9, 2021	Anomaly DetectionDecoder	CodeCode Available	1	5
Unmasking Anomalies in Road-Scene Segmentation	Jul 25, 2023	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images	Jul 14, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
MLPerf Tiny Benchmark	Jun 14, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1	5
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation	Sep 21, 2022	Anomaly DetectionData Augmentation	CodeCode Available	1	5
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation	Jun 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach	Mar 31, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Unsupervised Anomaly Detection by Robust Collaborative Autoencoders	Jan 1, 2021	Anomaly DetectionMissing Values	CodeCode Available	1	5
Unsupervised Anomaly Detection for X-Ray Images	Jan 29, 2020	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
Incorporating Feedback into Tree-based Anomaly Detection	Aug 30, 2017	Anomaly Detection	CodeCode Available	1	5
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring	May 20, 2020	Anomaly DetectionBayesian Optimization	CodeCode Available	1	5
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images	Nov 2, 2023	Anomaly DetectionImage Classification	CodeCode Available	1	5
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study	Nov 5, 2023	Anomaly Detection	CodeCode Available	1	5
Informative knowledge distillation for image anomaly segmentation	Jul 19, 2022	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
On the Effectiveness of Log Representation for Log-based Anomaly Detection	Aug 17, 2023	Anomaly DetectionLog Parsing	CodeCode Available	1	5
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection	May 18, 2024	Anomaly DetectionTime Series	CodeCode Available	1	5
Zero-Shot Anomaly Detection via Batch Normalization	Feb 15, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5

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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	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	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	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (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