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 626–650 of 4856 papers

Title	Date	Tasks	Status	Hype
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	Aug 19, 2020	Anomaly DetectionFraud Detection	CodeCode Available	1
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown	Jul 10, 2023	Anomaly DetectionCode Generation	CodeCode Available	1
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	Dec 15, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection	Oct 19, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection	May 23, 2025	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection	Mar 28, 2022	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection	Feb 13, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
Explainable Deep Few-shot Anomaly Detection with Deviation Networks	Aug 1, 2021	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1
Explainable Deep One-Class Classification	Jul 3, 2020	Anomaly DetectionClassification	CodeCode Available	1
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization	Dec 16, 2024	Anomaly Detection	CodeCode Available	1
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images	Mar 13, 2024	AnatomyAnomaly Detection	CodeCode Available	1
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays	Jan 30, 2023	Anomaly DetectionRepresentation Learning	CodeCode Available	1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting	Sep 27, 2024	Anomaly DetectionTime Series	CodeCode Available	1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences	Aug 14, 2022	Anomaly DetectionDecoder	CodeCode Available	1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection	Aug 18, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots	Sep 20, 2022	Anomaly Detection	CodeCode Available	1
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning	May 25, 2023	Anomaly Detection	CodeCode Available	1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization	Jun 9, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation	Jun 16, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Anomaly Detection using Score-based Perturbation Resilience	Jan 1, 2023	Anomaly DetectionDenoising	CodeCode Available	1
FastDTW is approximate and Generally Slower than the Algorithm it Approximates	Mar 25, 2020	Anomaly DetectionClustering	CodeCode Available	1
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection	May 22, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
Federated Foundation Models on Heterogeneous Time Series	Dec 12, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks	Dec 23, 2022	Anomaly DetectionPrivacy Preserving	CodeCode Available	1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation	Nov 2, 2023	Anomaly DetectionDepth Anomaly Detection and Segmentation	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	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