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 676–700 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	Dec 5, 2023	Anomaly DetectionTime Series	CodeCode Available	1	5
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning	Sep 16, 2020	Anomaly DetectionDeep Reinforcement Learning	CodeCode Available	1	5
Incorporating Feedback into Tree-based Anomaly Detection	Aug 30, 2017	Anomaly Detection	CodeCode Available	1	5
Anomaly Detection with Score Distribution Discrimination	Jun 26, 2023	Anomaly Detection	CodeCode Available	1	5
Deep Anomaly Detection on Attributed Networks	May 2, 2019	Anomaly DetectionAttribute	CodeCode Available	1	5
Deep Anomaly Detection Using Geometric Transformations	May 28, 2018	Anomaly Detection	CodeCode Available	1	5
Mixed supervision for surface-defect detection: from weakly to fully supervised learning	Apr 13, 2021	Anomaly DetectionDefect Detection	CodeCode Available	1	5
Graph Anomaly Detection with Unsupervised GNNs	Oct 18, 2022	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1	5
Deep Anomaly Detection with Outlier Exposure	Dec 11, 2018	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	1	5
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection	Dec 9, 2020	Anomaly DetectionClassification	CodeCode Available	1	5
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection	Feb 3, 2023	Anomaly DetectionDomain Adaptation	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
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds	Jun 18, 2020	Anomaly DetectionTask 2	CodeCode Available	1	5
A SAM-guided Two-stream Lightweight Model for Anomaly Detection	Feb 29, 2024	Anomaly DetectionDecoder	CodeCode Available	1	5
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection	Nov 9, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection	Feb 13, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1	5
Graph Convolutional Networks for traffic anomaly	Dec 25, 2020	Anomaly DetectionEvent Detection	CodeCode Available	1	5
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection	Oct 19, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1	5
Deep Generative Classification of Blood Cell Morphology	Aug 16, 2024	Anomaly DetectionClassification	CodeCode Available	1	5
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models	May 13, 2024	Anomaly DetectionEdge Detection	CodeCode Available	1	5
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation	Dec 19, 2021	Anomaly DetectionKnowledge Distillation	CodeCode Available	1	5
Anomaly localization by modeling perceptual features	Aug 12, 2020	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Anomaly Detection in Emails using Machine Learning and Header Information	Mar 19, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1	5
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning	Oct 2, 2018	Anomaly Detection	CodeCode Available	1	5
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction	Aug 16, 2021	Anomaly DetectionOptical Flow Estimation	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