SOTAVerified

Video Anomaly Detection

Papers

Showing 101150 of 262 papers

TitleStatusHype
VALD-GAN: video anomaly detection using latent discriminator augmented GAN0
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection0
Delving into CLIP latent space for Video Anomaly RecognitionCode1
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous AttentionCode0
Human Kinematics-inspired Skeleton-based Video Anomaly DetectionCode0
Divide and Conquer in Video Anomaly Detection: A Comprehensive Review and New ApproachCode0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection0
Reasonable Anomaly Detection in Long SequencesCode0
Prior Knowledge Guided Network for Video Anomaly Detection0
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly DetectionCode2
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly DetectionCode1
Future Video Prediction from a Single Frame for Video Anomaly Detection0
Survey on video anomaly detection in dynamic scenes with moving cameras0
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection SystemCode0
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and ModelCode1
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionCode1
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion RepresentationsCode1
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly DetectionCode1
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection0
Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder0
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation0
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection0
Exploring Diffusion Models for Unsupervised Video Anomaly Detection0
Contrastive-Regularized U-Net for Video Anomaly Detection0
Video Event Restoration Based on Keyframes for Video Anomaly Detection0
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly DetectionCode1
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection0
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly DetectionCode1
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies0
Updated version: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency0
Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder0
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection0
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection0
Memory Maps for Video Object Detection and Tracking on UAVs0
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism0
Memory-augmented Online Video Anomaly DetectionCode1
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly DetectionCode1
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep ModelsCode1
Making Reconstruction-based Method Great Again for Video Anomaly DetectionCode1
Contracting Skeletal Kinematics for Human-Related Video Anomaly DetectionCode0
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection0
Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks0
Feature Prediction Diffusion Model for Video Anomaly Detection0
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning0
Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping0
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions0
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos0
CHAD: Charlotte Anomaly DatasetCode1
Show:102550
← PrevPage 3 of 6Next →

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