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 871–880 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
An Attribute-based Method for Video Anomaly Detection	Dec 1, 2022	Abnormal Event Detection In VideoAnomaly Detection	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 Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection	Nov 6, 2023	Anomaly DetectionGenerative Adversarial Network	CodeCode Available	1	5
Graph-level Anomaly Detection via Hierarchical Memory Networks	Jul 3, 2023	Anomaly Detection	CodeCode Available	1	5
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	Dec 21, 2021	Anomaly DetectionClustering	CodeCode Available	1	5
Attention-based residual autoencoder for video anomaly detection	May 25, 2022	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
Latent Outlier Exposure for Anomaly Detection with Contaminated Data	Feb 16, 2022	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1	5
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection	Mar 14, 2024	Anomaly DetectionGraph structure learning	CodeCode Available	1	5
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown	Jul 10, 2023	Anomaly DetectionCode Generation	CodeCode Available	1	5
Laplacian Change Point Detection for Dynamic Graphs	Jul 2, 2020	Anomaly DetectionChange Point Detection	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