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 3051–3075 of 4856 papers

TitleStatusHype
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange—0
Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks—0
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach—0
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models—0
Video Event Restoration Based on Keyframes for Video Anomaly Detection—0
Video Generative Adversarial Networks: A Review—0
Texture-Based Input Feature Selection for Action Recognition—0
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network—0
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis—0
Vision Foundation Model Embedding-Based Semantic Anomaly Detection—0
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey—0
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection—0
Visual Analytics of Anomalous User Behaviors: A Survey—0
Visual Anomaly Detection for Images: A Survey—0
Visual anomaly detection in video by variational autoencoder—0
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation—0
Visualization for Multivariate Gaussian Anomaly Detection in Images—0
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection—0
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection—0
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks—0
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer—0
vue4logs -- Automatic Structuring of Heterogeneous Computer System Logs—0
Warped Time Series Anomaly Detection—0
Warping Resilient Scalable Anomaly Detection in Time Series—0
Water Level Estimation Using Sentinel-1 Synthetic Aperture Radar Imagery And Digital Elevation Models—0
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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