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 551–575 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder	Mar 21, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization	Aug 30, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
FedTADBench: Federated Time-Series Anomaly Detection Benchmark	Dec 19, 2022	Anomaly DetectionFederated Learning	CodeCode Available	1	5
Few-Shot One-Class Classification via Meta-Learning	Jul 8, 2020	Anomaly DetectionClassification	CodeCode Available	1	5
Anomaly Detection in Multi-Agent Trajectories for Automated Driving	Oct 15, 2021	Anomaly Detection	CodeCode Available	1	5
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction	Nov 15, 2022	Anomaly DetectionDisease Prediction	CodeCode Available	1	5
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data	Mar 14, 2025	Anomaly DetectionDecoder	CodeCode Available	1	5
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning	Jun 13, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available	1	5
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning	Dec 6, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
ARCADe: A Rapid Continual Anomaly Detector	Aug 10, 2020	Anomaly Detectioncontinual anomaly detection	CodeCode Available	1	5
ARC: A Generalist Graph Anomaly Detector with In-Context Learning	May 27, 2024	Anomaly DetectionARC	CodeCode Available	1	5
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks	Jan 17, 2023	Anomaly Detection	CodeCode Available	1	5
Federated Foundation Models on Heterogeneous Time Series	Dec 12, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1	5
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms	Apr 21, 2022	Anomaly DetectionFraud Detection	CodeCode Available	1	5
Fast Unsupervised Anomaly Detection in Traffic Videos	Jul 28, 2020	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
Are we certain it's anomalous?	Nov 16, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection	May 22, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1	5
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video	Aug 27, 2020	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1	5
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn	Jun 3, 2023	Anomaly DetectionDeep Learning	CodeCode Available	1	5
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection	Jun 15, 2021	Anomaly DetectionFederated Learning	CodeCode Available	1	5
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream	Jun 9, 2022	Anomaly Detection	CodeCode Available	1	5
FastDTW is approximate and Generally Slower than the Algorithm it Approximates	Mar 25, 2020	Anomaly DetectionClustering	CodeCode Available	1	5
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder	Mar 12, 2020	Anomaly DetectionQuantization	CodeCode Available	1	5
A Survey of Visual Sensory Anomaly Detection	Feb 14, 2022	Anomaly DetectionSurvey	CodeCode Available	1	5
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows	Nov 15, 2021	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