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 451–500 of 4856 papers

TitleStatusHype
FastAno: Fast Anomaly Detection via Spatio-temporal Patch TransformationCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly LocalizationCode1
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly DetectionCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
Deep and Confident Prediction for Time Series at UberCode1
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security ApplicationsCode1
Learning and Evaluating Representations for Deep One-class ClassificationCode1
Deep Anomaly Detection on Attributed NetworksCode1
Deep Anomaly Detection Using Geometric TransformationsCode1
Learning Deep Feature Correspondence for Unsupervised Anomaly Detection and SegmentationCode1
Deep Anomaly Detection with Outlier ExposureCode1
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition SoundsCode1
Deep Contrastive One-Class Time Series Anomaly DetectionCode1
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed NetworksCode1
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative AnalysisCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
Deep Orthogonal Hypersphere Compression for Anomaly DetectionCode1
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationCode1
Exploring Image Augmentations for Siamese Representation Learning with Chest X-RaysCode1
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
Deep Learning for Anomaly Detection in Log Data: A SurveyCode1
Anomaly Detection-Based Unknown Face Presentation Attack DetectionCode1
TS2Vec: Towards Universal Representation of Time SeriesCode1
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography ImagesCode1
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANsCode1
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR DataCode1
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-DecoderCode1
Explaining Anomalies Detected by Autoencoders Using SHAPCode1
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataCode1
Deep SetsCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly DetectionCode1
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing AnomaliesCode1
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier ImagesCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Fast Distance-based Anomaly Detection in Images Using an Inception-like AutoencoderCode1
Delving into CLIP latent space for Video Anomaly RecognitionCode1
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly BenchmarkCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
DeScarGAN: Disease-Specific Anomaly Detection with Weak SupervisionCode1
Experience Report: Deep Learning-based System Log Analysis for Anomaly DetectionCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile RobotsCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly DetectionCode1
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly DetectionCode1
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (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