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 47014725 of 4856 papers

TitleStatusHype
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy SourcesCode0
PIDForest: Anomaly Detection via Partial IdentificationCode0
Constrained Adaptive Projection with Pretrained Features for Anomaly DetectionCode0
Unseen Anomaly Detection on Networks via Multi-Hypersphere LearningCode0
Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CTCode0
Evaluating Vision Transformer Models for Visual Quality Control in Industrial ManufacturingCode0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
Contrastive Language Prompting to Ease False Positives in Medical Anomaly DetectionCode0
Evaluating Language Models For Threat Detection in IoT Security LogsCode0
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methodsCode0
Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood PlanersCode0
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUICode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
Simulation-Assisted Decorrelation for Resonant Anomaly DetectionCode0
Simulation Assisted Likelihood-free Anomaly DetectionCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
Outlier Exposure with Confidence Control for Out-of-Distribution DetectionCode0
Estimate the Implicit Likelihoods of GANs with Application to Anomaly DetectionCode0
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain ShiftCode0
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial VulnerabilityCode0
Weakly-Supervised Anomaly Detection in the Milky WayCode0
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose TokenizationCode0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Show:102550
← PrevPage 189 of 195Next →

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