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 4051–4075 of 4856 papers

Title	Date	Tasks	Status
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images	Jul 20, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available
Combining Machine Learning Models using combo Library	Sep 21, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection	Jul 13, 2023	Anomaly DetectionData Augmentation	CodeCode Available
Leveraging Log Instructions in Log-based Anomaly Detection	Jul 7, 2022	Anomaly DetectionCPU	CodeCode Available
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture	Apr 18, 2020	Anomaly DetectionClassification	CodeCode Available
Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease	Aug 4, 2024	AnatomyAnomaly Detection	CodeCode Available
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection	Jul 17, 2024	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Are We Using Autoencoders in a Wrong Way?	Sep 4, 2023	Anomaly DetectionClassification	CodeCode Available
Less-supervised learning with knowledge distillation for sperm morphology analysis	May 8, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework	Oct 1, 2017	Anomaly DetectionDiversity	CodeCode Available
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection	Mar 2, 2024	Anomaly DetectionMultiple Instance Learning	CodeCode Available
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights	Mar 14, 2023	Anomaly DetectionContinual Learning	CodeCode Available
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection	Oct 4, 2023	Anomaly DetectionGraph Neural Network	CodeCode Available
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation	Nov 28, 2022	Anomaly DetectionKnowledge Distillation	CodeCode Available
Lightweight Collaborative Anomaly Detection for the IoT using Blockchain	Jun 18, 2020	Anomaly Detection	CodeCode Available
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks	Feb 11, 2021	Anomaly DetectionFraud Detection	CodeCode Available
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators	Jan 12, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Domain-independent detection of known anomalies	Jul 3, 2024	Anomaly Detection	CodeCode Available
Link Analysis meets Ontologies: Are Embeddings the Answer?	Nov 23, 2021	Anomaly Detection	CodeCode Available
StackVAE-G: An efficient and interpretable model for time series anomaly detection	May 18, 2021	Anomaly DetectionGraph Learning	CodeCode Available
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond	Apr 26, 2024	Anomaly DetectionCell Detection	CodeCode Available
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD	Nov 23, 2022	Anomaly DetectionOutlier Detection	CodeCode Available
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring	Jun 15, 2022	Anomaly DetectionDimensionality Reduction	CodeCode Available
DMAD: Dual Memory Bank for Real-World Anomaly Detection	Mar 19, 2024	Anomaly DetectionRepresentation Learning	CodeCode Available
STAN: Synthetic Network Traffic Generation with Generative Neural Models	Sep 27, 2020	Anomaly Detection	CodeCode Available

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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