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 4726–4750 of 4856 papers

Title	Date	Tasks	Status
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection	Jul 9, 2024	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Ensemble Clustering for Graphs: Comparisons and Applications	Mar 19, 2019	Anomaly DetectionClustering	CodeCode Available
Enhancing Wrist Fracture Detection with YOLO	Jul 17, 2024	Anomaly DetectionFracture detection	CodeCode Available
Position Regression for Unsupervised Anomaly Detection	Jan 19, 2023	Anomaly DetectionImage Reconstruction	CodeCode Available
Single-Model Attribution of Generative Models Through Final-Layer Inversion	May 26, 2023	Anomaly Detection	CodeCode Available
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection	Mar 10, 2023	Anomaly DetectionImage Captioning	CodeCode Available
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection	Jan 23, 2023	Anomaly DetectionOpen Set Learning	CodeCode Available
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning	May 5, 2021	Adversarial AttackAnomaly Detection	CodeCode Available
Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer	Sep 16, 2023	Anomaly DetectionData Augmentation	CodeCode Available
Enhancing Unsupervised Anomaly Detection with Score-Guided Network	Sep 10, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Achieving Counterfactual Fairness for Anomaly Detection	Mar 4, 2023	Anomaly Detectioncounterfactual	CodeCode Available
Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss	Feb 17, 2025	Anomaly Detection	CodeCode Available
Practical data monitoring in the internet-services domain	Mar 15, 2022	Anomaly Detection	CodeCode Available
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers	Mar 31, 2025	Anomaly DetectionDecision Making	CodeCode Available
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection	Jan 24, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available
Continuous online sequence learning with an unsupervised neural network model	Dec 17, 2015	Anomaly DetectionTemporal Sequences	CodeCode Available
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation	Dec 20, 2024	Anomaly DetectionData Augmentation	CodeCode Available
Precision and Recall for Time Series	Mar 8, 2018	Anomaly DetectionGeneral Classification	CodeCode Available
Enhancing Robustness of On-line Learning Models on Highly Noisy Data	Mar 19, 2021	Anomaly DetectionFace Recognition	CodeCode Available
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection	Jan 25, 2019	Anomaly DetectionDecoder	CodeCode Available
Continual Learning Approaches for Anomaly Detection	Dec 21, 2022	Anomaly DetectionContinual Learning	CodeCode Available
Predicting Next Local Appearance for Video Anomaly Detection	Jun 10, 2021	Anomaly DetectionObject	CodeCode Available
Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos	Mar 29, 2022	Anomaly DetectionManagement	CodeCode Available
A Three-Stage Anomaly Detection Framework for Traffic Videos	Jun 5, 2022	Anomaly Detection	CodeCode Available
Algorithmic Frameworks for the Detection of High Density Anomalies	Oct 9, 2020	Anomaly DetectionVocal Bursts Intensity Prediction	CodeCode Available

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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