SOTAVerified

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

Showing 301350 of 4856 papers

TitleStatusHype
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual NavigationCode1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly DetectionCode1
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and ReasoningCode1
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat DetectionCode1
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography ImagesCode1
Diffusion Models with Implicit Guidance for Medical Anomaly DetectionCode1
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly DetectionCode1
Dual-path Frequency Discriminators for Few-shot Anomaly DetectionCode1
A SAM-guided Two-stream Lightweight Model for Anomaly DetectionCode1
Continuous Memory Representation for Anomaly DetectionCode1
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and EvaluationCode1
PUAD: Frustratingly Simple Method for Robust Anomaly DetectionCode1
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly DetectionCode1
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised LearningCode1
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image RestorationCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Alleviating Structural Distribution Shift in Graph Anomaly DetectionCode1
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly DetectionCode1
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?Code1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact SupervisionCode1
Towards Universal Unsupervised Anomaly Detection in Medical ImagingCode1
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low ToleranceCode1
Soft Contrastive Learning for Time SeriesCode1
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation LearningCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly DetectionCode1
Invariant Anomaly Detection under Distribution Shifts: A Causal PerspectiveCode1
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly DetectionCode1
Label-Free Multivariate Time Series Anomaly DetectionCode1
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration NetworkCode1
Entropy Causal Graphs for Multivariate Time Series Anomaly DetectionCode1
An Incremental Unified Framework for Small Defect InspectionCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building DetectionCode1
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsCode1
Multimodal Industrial Anomaly Detection by Crossmodal Feature MappingCode1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionCode1
Unsupervised Anomaly Detection using Aggregated Normative DiffusionCode1
Eliciting Latent Knowledge from Quirky Language ModelsCode1
BatchNorm-based Weakly Supervised Video Anomaly DetectionCode1
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning NetworkCode1
Set Features for Anomaly DetectionCode1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
7DiffusionADDetection AUROC98.8Unverified
8GLASSDetection AUROC98.8Unverified
9TransFusionDetection AUROC98.7Unverified
10HETMMDetection AUROC98.1Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3Unverified
2PSADAvg. Detection AUROC94.9Unverified