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 1121–1130 of 4856 papers

Title	Date	Tasks	Status	Hype
A Recover-then-Discriminate Framework for Robust Anomaly Detection	Jun 7, 2024	Anomaly Detection	—Unverified	0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications	Jun 7, 2024	Anomaly DetectionImage Generation	CodeCode Available	0
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization	Jun 7, 2024	Anomaly DetectionGPU	—Unverified	0
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection	Jun 7, 2024	Anomaly DetectionBinary Classification	CodeCode Available	1
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions	Jun 6, 2024	Anomaly DetectionDomain Adaptation	—Unverified	0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models	Jun 6, 2024	Anomaly DetectionMamba	—Unverified	0
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs	Jun 5, 2024	Anomaly DetectionSentence	—Unverified	0
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection	Jun 5, 2024	Anomaly DetectionDimensionality Reduction	—Unverified	0
A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection	Jun 5, 2024	Anomaly DetectionBenchmarking	—Unverified	0
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection	Jun 5, 2024	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified	0

Show:10 25 50

← PrevPage 113 of 486Next →

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