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 951–975 of 4856 papers

Title	Date	Tasks	Status	Score
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	Mar 8, 2019	Anomaly DetectionDecoder	CodeCode Available	5
Learning Representations for Time Series Clustering	Dec 1, 2019	Anomaly DetectionClustering	CodeCode Available	5
Learning Temporal Regularity in Video Sequences	Apr 15, 2016	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	5
Anomaly Detection by Recombining Gated Unsupervised Experts	Aug 31, 2020	Anomaly DetectionMixture-of-Experts	CodeCode Available	5
Link Analysis meets Ontologies: Are Embeddings the Answer?	Nov 23, 2021	Anomaly Detection	CodeCode Available	5
M^2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding	Apr 21, 2025	Anomaly DetectionTime Series	CodeCode Available	5
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification	Jan 8, 2019	Anomaly DetectionClassification	CodeCode Available	5
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis	Mar 20, 2022	Anomaly DetectionMedical Image Analysis	CodeCode Available	5
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection	Jun 15, 2018	Anomaly Detection	CodeCode Available	5
Learning Deep Features for One-Class Classification	Jan 16, 2018	Anomaly DetectionDescriptive	CodeCode Available	5
Learning Networks from Random Walk-Based Node Similarities	Jan 23, 2018	Anomaly DetectionClustering	CodeCode Available	5
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection	Nov 15, 2022	Anomaly DetectionDensity Estimation	CodeCode Available	5
Latent Space Autoregression for Novelty Detection	Jul 4, 2018	Anomaly DetectionNovelty Detection	CodeCode Available	5
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative	Nov 30, 2022	Anomaly DetectionMedical Image Analysis	CodeCode Available	5
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping	Dec 5, 2023	Anomaly Detection	CodeCode Available	5
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder	Jun 11, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	5
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset	Feb 2, 2021	Anomaly Detection	CodeCode Available	5
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning	Jul 24, 2024	Anomaly DetectionIn-Context Learning	CodeCode Available	5
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection	Mar 2, 2024	Anomaly DetectionMultiple Instance Learning	CodeCode Available	5
Less-supervised learning with knowledge distillation for sperm morphology analysis	May 8, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
A Uniform Framework for Anomaly Detection in Deep Neural Networks	Oct 6, 2021	Adversarial AttackAnomaly Detection	CodeCode Available	5
Large Models in Dialogue for Active Perception and Anomaly Detection	Jan 27, 2025	Anomaly DetectionQuestion Answering	CodeCode Available	5
Automatic Anomaly Detection in the Cloud Via Statistical Learning	Apr 24, 2017	Anomaly DetectionTime Series	CodeCode Available	5
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights	Mar 14, 2023	Anomaly DetectionContinual Learning	CodeCode Available	5
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection	Jun 1, 2018	Anomaly DetectionImage Generation	CodeCode Available	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