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 326–350 of 4856 papers

Title	Date	Tasks	Status	Hype
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection	Jan 18, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection	Jan 9, 2024	Anomaly DetectionDenoising	CodeCode Available	1
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance	Jan 3, 2024	Anomaly Detection	CodeCode Available	1
Soft Contrastive Learning for Time Series	Dec 27, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning	Dec 25, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection	Dec 22, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting	Dec 22, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection	Dec 21, 2023	Anomaly DetectionSegmentation	CodeCode Available	1
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective	Dec 21, 2023	Anomaly DetectionCausal Inference	CodeCode Available	1
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection	Dec 19, 2023	Anomaly DetectionTest-time Adaptation	CodeCode Available	1
Label-Free Multivariate Time Series Anomaly Detection	Dec 17, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	1
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network	Dec 15, 2023	Anomaly DetectionRhythm	CodeCode Available	1
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	Dec 15, 2023	Anomaly DetectionTime Series	CodeCode Available	1
An Incremental Unified Framework for Small Defect Inspection	Dec 14, 2023	Anomaly Detectioncontinual anomaly detection	CodeCode Available	1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation	Dec 12, 2023	Anomaly DetectionAutonomous Driving	CodeCode Available	1
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection	Dec 11, 2023	Anomaly DetectionDamaged Building Detection	CodeCode Available	1
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs	Dec 7, 2023	AnatomyAnomaly Detection	CodeCode Available	1
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping	Dec 7, 2023	Anomaly Detection	CodeCode Available	1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	Dec 5, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Unsupervised Anomaly Detection using Aggregated Normative Diffusion	Dec 4, 2023	Anomaly DetectionDenoising	CodeCode Available	1
Eliciting Latent Knowledge from Quirky Language Models	Dec 2, 2023	Anomaly DetectionMath	CodeCode Available	1
BatchNorm-based Weakly Supervised Video Anomaly Detection	Nov 26, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network	Nov 25, 2023	3D Anomaly DetectionAnomaly Detection	CodeCode Available	1
Set Features for Anomaly Detection	Nov 24, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View	Nov 24, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available	1

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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