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 776–800 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning	Jun 29, 2021	Anomaly DetectionCloud Computing	CodeCode Available	1	5
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study	Nov 5, 2023	Anomaly Detection	CodeCode Available	1	5
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing	Apr 11, 2021	Anomaly Detection	CodeCode Available	1	5
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images	Nov 2, 2023	Anomaly DetectionImage Classification	CodeCode Available	1	5
[Re] Learning Memory Guided Normality for Anomaly Detection	Jan 29, 2021	Anomaly DetectionHyperparameter Optimization	CodeCode Available	1	5
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring	May 20, 2020	Anomaly DetectionBayesian Optimization	CodeCode Available	1	5
Informative knowledge distillation for image anomaly segmentation	Jul 19, 2022	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection	Nov 26, 2021	AnatomyAnomaly Detection	CodeCode Available	1	5
Incorporating Feedback into Tree-based Anomaly Detection	Aug 30, 2017	Anomaly 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
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction	Apr 5, 2023	Anomaly DetectionDiversity	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
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark	Oct 12, 2015	Anomaly DetectionTime Series	CodeCode Available	1	5
RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images	May 27, 2025	Anomaly DetectionBinarization	CodeCode Available	1	5
Explainable Deep One-Class Classification	Jul 3, 2020	Anomaly DetectionClassification	CodeCode Available	1	5
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment	Jan 4, 2020	Anomaly DetectionTime Series	CodeCode Available	1	5
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs	May 23, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows	Aug 28, 2020	Anomaly DetectionDefect Detection	CodeCode Available	1	5
Inpainting Transformer for Anomaly Detection	Apr 28, 2021	Anomaly Detection	CodeCode Available	1	5
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection	Jul 13, 2021	Anomaly Detection	CodeCode Available	1	5
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection	Mar 20, 2019	Anomaly DetectionDeep Learning	CodeCode Available	1	5
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling	Nov 21, 2023	Anomaly DetectionTime Series	CodeCode Available	1	5
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection	Jan 24, 2024	Anomaly DetectionOne-Class Classification	CodeCode Available	1	5
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers	Oct 7, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5

Show:10 25 50

← PrevPage 32 of 195Next →

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