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

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Showing 1–25 of 4856 papers

Title	Date	Tasks	Status	Hype
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection	Aug 6, 2024	Anomaly DetectionDefect Detection	CodeCode Available	9
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble	Mar 7, 2024	Anomaly DetectionGPU	CodeCode Available	9
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	Oct 5, 2022	Action RecognitionAnomaly Detection	CodeCode Available	6
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis	Apr 26, 2025	Anomaly DetectionGPR	CodeCode Available	5
VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness	Mar 27, 2025	Anomaly DetectionVideo Generation	CodeCode Available	5
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	Oct 21, 2024	Anomaly DetectionImputation	CodeCode Available	5
aeon: a Python toolkit for learning from time series	Jun 20, 2024	Anomaly DetectionModel Selection	CodeCode Available	5
Long-term Forecasting with TiDE: Time-series Dense Encoder	Apr 17, 2023	Anomaly DetectionDecoder	CodeCode Available	5
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection	May 24, 2022	Anomaly DetectionAutoML	CodeCode Available	5
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding	Sep 22, 2024	Anomaly DetectionGPU	CodeCode Available	4
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data	Apr 29, 2024	Anomaly DetectionImputation	CodeCode Available	4
UniTS: A Unified Multi-Task Time Series Model	Feb 29, 2024	Anomaly DetectionImputation	CodeCode Available	4
Timer: Generative Pre-trained Transformers Are Large Time Series Models	Feb 4, 2024	Anomaly DetectionImputation	CodeCode Available	4
Deep Industrial Image Anomaly Detection: A Survey	Jan 27, 2023	Anomaly DetectionDeep Learning	CodeCode Available	4
Are Transformers Effective for Time Series Forecasting?	May 26, 2022	Anomaly DetectionRelation Extraction	CodeCode Available	4
Transformers in Time Series: A Survey	Feb 15, 2022	Anomaly DetectionSurvey	CodeCode Available	4
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning	Jun 4, 2025	Anomaly DetectionMedical Diagnosis	CodeCode Available	3
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP	Mar 9, 2025	Anomaly DetectionAnomaly Localization	CodeCode Available	3
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection	Mar 4, 2025	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	3
MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection	Oct 12, 2024	Anomaly Detection	CodeCode Available	3
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark	Sep 26, 2024	Anomaly DetectionBenchmarking	CodeCode Available	3
Deep Graph Anomaly Detection: A Survey and New Perspectives	Sep 16, 2024	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	3
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection	Jul 22, 2024	Anomaly DetectionLanguage Modeling	CodeCode Available	3
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization	Jul 12, 2024	Anomaly DetectionDefect Detection	CodeCode Available	3
Hawk: Learning to Understand Open-World Video Anomalies	May 27, 2024	Anomaly DetectionQuestion Answering	CodeCode Available	3

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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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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