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 751–775 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
ADNet: Temporal Anomaly Detection in Surveillance Videos	Apr 14, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach	Sep 30, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images	Apr 25, 2024	Anomaly DetectionDiagnostic	CodeCode Available	1	5
DSR -- A dual subspace re-projection network for surface anomaly detection	Aug 2, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation	Jun 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection	Oct 14, 2022	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1	5
Implicit field learning for unsupervised anomaly detection in medical images	Jun 9, 2021	Anomaly DetectionDecoder	CodeCode Available	1	5
Improving Position Encoding of Transformers for Multivariate Time Series Classification	May 26, 2023	Anomaly DetectionPosition	CodeCode Available	1	5
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1	5
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays	Jun 8, 2022	Anomaly DetectionOne-Class Classification	CodeCode Available	1	5
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection	Feb 10, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1	5
Dual-path Frequency Discriminators for Few-shot Anomaly Detection	Mar 7, 2024	Anomaly Detection	CodeCode Available	1	5
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition	Aug 15, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	1	5
Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection	Apr 7, 2024	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1	5
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms	Mar 3, 2021	Anomaly DetectionSelf-Driving Cars	CodeCode Available	1	5
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems	Jul 7, 2023	Anomaly DetectionFault Detection	CodeCode Available	1	5
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection	Jul 3, 2023	Anomaly DetectionImputation	CodeCode Available	1	5
PNI : Industrial Anomaly Detection using Position and Neighborhood Information	Nov 22, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1	5
Efficient Deep CNN-BiLSTM Model for Network Intrusion Detection	Jun 26, 2020	Anomaly DetectionIntrusion Detection	CodeCode Available	1	5
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection	Oct 19, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots	Aug 26, 2020	Anomaly DetectionSegmentation	CodeCode Available	1	5
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection	Jul 15, 2024	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1	5
Eliciting Latent Knowledge from Quirky Language Models	Dec 2, 2023	Anomaly DetectionMath	CodeCode Available	1	5
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations	Oct 1, 2024	Anomaly DetectionData Augmentation	CodeCode Available	1	5
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing	Jan 31, 2023	Anomaly DetectionContinual Learning	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