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

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Showing 801–825 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance	Jul 21, 2020	Anomaly DetectionFeature Importance	CodeCode Available	1	5
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms	Apr 21, 2022	Anomaly DetectionFraud Detection	CodeCode Available	1	5
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model	Aug 31, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images	May 23, 2022	Anomaly Detection	CodeCode Available	1	5
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection	Nov 17, 2021	Anomaly DetectionOne-Class Classification	CodeCode Available	1	5
Self-supervised Sparse Representation for Video Anomaly Detection	Oct 23, 2022	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection	Sep 13, 2023	Anomaly DetectionDefect Detection	CodeCode Available	1	5
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection	May 28, 2022	Anomaly DetectionNovelty Detection	CodeCode Available	1	5
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges	Jan 25, 2025	Anomaly DetectionDiversity	CodeCode Available	1	5
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection	Nov 14, 2022	Anomaly Detection	CodeCode Available	1	5
An Incremental Unified Framework for Small Defect Inspection	Dec 14, 2023	Anomaly Detectioncontinual anomaly detection	CodeCode Available	1	5
Are we certain it's anomalous?	Nov 16, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning	May 25, 2023	Anomaly Detection	CodeCode Available	1	5
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks	Oct 27, 2021	Anomaly Detection	CodeCode Available	1	5
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation	Jun 16, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1	5
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder	Mar 12, 2020	Anomaly DetectionQuantization	CodeCode Available	1	5
FastDTW is approximate and Generally Slower than the Algorithm it Approximates	Mar 25, 2020	Anomaly DetectionClustering	CodeCode Available	1	5
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows	Nov 15, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1	5
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection	May 22, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1	5
Fast Unsupervised Anomaly Detection in Traffic Videos	Jul 28, 2020	Anomaly DetectionUnsupervised 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
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection	Oct 14, 2022	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1	5
AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection	Mar 29, 2022	Anomaly Detectionobject-detection	CodeCode Available	1	5
Federated Foundation Models on Heterogeneous Time Series	Dec 12, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1	5
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images	Nov 2, 2023	Anomaly DetectionImage Classification	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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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