SOTAVerified

Video Anomaly Detection

Papers

Showing 151200 of 262 papers

TitleStatusHype
Motion-Aware Feature for Improved Video Anomaly Detection0
A Promotion Method for Generation Error Based Video Anomaly Detection0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos0
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions0
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection0
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection0
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection0
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection0
Video Event Restoration Based on Keyframes for Video Anomaly Detection0
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection0
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning0
Multi-Task Learning based Video Anomaly Detection with Attention0
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection0
Contrastive-Regularized U-Net for Video Anomaly Detection0
Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning0
Context-aware Video Anomaly Detection in Long-Term Datasets0
Object-centric and memory-guided normality reconstruction for video anomaly detection0
Object Class Aware Video Anomaly Detection through Image Translation0
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data0
Online Anomaly Detection over Live Social Video Streaming0
Open-Vocabulary Video Anomaly Detection0
Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection0
Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection0
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection0
Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder0
Advancing Video Anomaly Detection: A Concise Review and a New Dataset0
A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders0
Prior Knowledge Guided Network for Video Anomaly Detection0
Privacy-Preserving Video Anomaly Detection: A Survey0
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos0
ComplexVAD: Detecting Interaction Anomalies in Video0
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods0
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies0
Clustering Driven Deep Autoencoder for Video Anomaly Detection0
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection0
Real-world Video Anomaly Detection by Extracting Salient Features in Videos0
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance0
Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention0
Rethinking Metrics and Benchmarks of Video Anomaly Detection0
Rethinking Video Anomaly Detection - A Continual Learning Approach0
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction0
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency0
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos0
Self-Supervised Representation Learning for Visual Anomaly Detection0
Self-Supervised Representation Learning via Neighborhood-Relational Encoding0
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection0
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement0
A Survey on Deep Learning Techniques for Video Anomaly Detection0
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC87.23Unverified
2MoPRLAUC84.3Unverified
3TSGADAUC81.77Unverified
4TrajRECAUC77.9Unverified
5MoCoDADAUC77.6Unverified
6COSKAD-euclideanAUC77.1Unverified
7Multi-timescale PredictionAUC77Unverified
8COSKAD-hyperbolicAUC75.6Unverified
9MPED-RNNAUC75.4Unverified
10COSKAD-radialAUC75.2Unverified
#ModelMetricClaimedVerifiedStatus
1TrajRECAUC89.4Unverified
2MoCoDADAUC89Unverified
3Multi-timescale PredictionAUC88.33Unverified
4COSKAD-euclideanAUC87.8Unverified
5COSKAD-hyperbolicAUC87.3Unverified
6BiPOCOAUC87Unverified
7MPED-RNNAUC86.3Unverified
8PredAUC86.2Unverified
9Conv-AEAUC84.8Unverified
10COSKAD-radialAUC82.2Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoDADAUC68.4Unverified
2TrajRECAUC68.2Unverified
3COSKAD-hyperbolicAUC65.5Unverified
4COSKAD-euclideanAUC65.2Unverified
5COSKAD-radialAUC63.4Unverified
6MPED-RNNAUC61.2Unverified
7GEPCAUC55.2Unverified
8BiPOCOAUC52.3Unverified
#ModelMetricClaimedVerifiedStatus
1VADMambaAUC91.5Unverified
2MAMAAUC91.2Unverified
3HF2-VADAUC91.1Unverified
4AnyAnomalyAUC87.3Unverified
#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC85.75Unverified
2TSGADAUC80.6Unverified
3VADMambaAUC77Unverified
4HF2-VADAUC76.2Unverified
#ModelMetricClaimedVerifiedStatus
1AnyAnomalyAUC74.5Unverified
2TrajRECAUC68Unverified
#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC67.04Unverified
#ModelMetricClaimedVerifiedStatus
1MULDE-object-centric-microAUC94.3Unverified
#ModelMetricClaimedVerifiedStatus
1HF2-VADAUC0.99Unverified
#ModelMetricClaimedVerifiedStatus
1AnyAnomalyAUC79.7Unverified
#ModelMetricClaimedVerifiedStatus
1VADMambaAUC98.5Unverified