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 1331–1340 of 4856 papers

Title	Date	Tasks	Status	Hype
Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data	Mar 20, 2024	Anomaly Detection	—Unverified	0
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning	Mar 19, 2024	Anomaly DetectionContinual Learning	—Unverified	0
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation	Mar 19, 2024	Anomaly Detectionobject-detection	CodeCode Available	1
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine	Mar 19, 2024	Anomaly DetectionSemi-supervised Anomaly Detection	—Unverified	0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection	Mar 19, 2024	Anomaly DetectionComputational Efficiency	—Unverified	0
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection	Mar 19, 2024	Anomaly DetectionBenchmarking	CodeCode Available	3
DMAD: Dual Memory Bank for Real-World Anomaly Detection	Mar 19, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available	0
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images	Mar 19, 2024	Anomaly ClassificationAnomaly Detection	CodeCode Available	3
Wildfire danger prediction optimization with transfer learning	Mar 19, 2024	Anomaly Detectionobject-detection	CodeCode Available	0
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection	Mar 18, 2024	Anomaly DetectionGraph Attention	—Unverified	0

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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