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

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Showing 701–750 of 4856 papers

TitleStatusHype
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly DetectionCode1
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly DetectionCode1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesCode1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionCode1
Iterative energy-based projection on a normal data manifold for anomaly localizationCode1
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsCode1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly DetectionCode1
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest RadiographsCode1
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat DetectionCode1
Anomaly Detection in Emails using Machine Learning and Header InformationCode1
A SAM-guided Two-stream Lightweight Model for Anomaly DetectionCode1
ADGym: Design Choices for Deep Anomaly DetectionCode1
Latent Outlier Exposure for Anomaly Detection with Contaminated DataCode1
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
Learning Decision Trees as Amortized Structure InferenceCode1
Learning Generalized Spoof Cues for Face Anti-spoofingCode1
Learning Graph Neural Networks for Multivariate Time Series Anomaly DetectionCode1
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
Learning Not to Reconstruct AnomaliesCode1
LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic DataCode1
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile RobotsCode1
TS2Vec: Towards Universal Representation of Time SeriesCode1
Can LLMs Understand Time Series Anomalies?Code1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame PredictionCode1
Local Evaluation of Time Series Anomaly Detection AlgorithmsCode1
Anomaly Detection in Dynamic Graphs via TransformerCode1
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR DataCode1
Camouflaged Object DetectionCode1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly DetectionCode1
LogGPT: Log Anomaly Detection via GPTCode1
LogiCode: an LLM-Driven Framework for Logical Anomaly DetectionCode1
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-DecoderCode1
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly LocalizationCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
CHAD: Charlotte Anomaly DatasetCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
Lorentz group equivariant autoencodersCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcityCode1
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly DetectionCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
MAEDAY: MAE for few and zero shot AnomalY-DetectionCode1
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly DetectionCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
Masked Autoencoders for Unsupervised Anomaly Detection in Medical ImagesCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6HETMMDetection AUROC99.8—Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10PBASDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
5DDADDetection AUROC98.9—Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified