SOTAVerified

Video Anomaly Detection

Papers

Showing 26–50 of 262 papers

TitleStatusHype
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions—0
HSTforU: anomaly detection in aerial and ground-based videos with hierarchical spatio-temporal transformer for U-netCode1
Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory—0
Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection—0
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes—0
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection—0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems—0
Quo Vadis, Anomaly Detection? LLMs and VLMs in the SpotlightCode1
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly DetectionCode2
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion ModelCode1
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly DetectionCode1
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models—0
Privacy-Preserving Video Anomaly Detection: A Survey—0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning—0
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. PerformanceCode0
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis—0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion—0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection—0
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly DetectionCode1
Vision-Language Models Assisted Unsupervised Video Anomaly Detection—0
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection—0
Abnormal Event Detection In Videos Using Deep Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC87.23—Unverified
2MoPRLAUC84.3—Unverified
3TSGADAUC81.77—Unverified
4TrajRECAUC77.9—Unverified
5MoCoDADAUC77.6—Unverified
6COSKAD-euclideanAUC77.1—Unverified
7Multi-timescale PredictionAUC77—Unverified
8COSKAD-hyperbolicAUC75.6—Unverified
9MPED-RNNAUC75.4—Unverified
10COSKAD-radialAUC75.2—Unverified
#ModelMetricClaimedVerifiedStatus
1TrajRECAUC89.4—Unverified
2MoCoDADAUC89—Unverified
3Multi-timescale PredictionAUC88.33—Unverified
4COSKAD-euclideanAUC87.8—Unverified
5COSKAD-hyperbolicAUC87.3—Unverified
6BiPOCOAUC87—Unverified
7MPED-RNNAUC86.3—Unverified
8PredAUC86.2—Unverified
9Conv-AEAUC84.8—Unverified
10COSKAD-radialAUC82.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoDADAUC68.4—Unverified
2TrajRECAUC68.2—Unverified
3COSKAD-hyperbolicAUC65.5—Unverified
4COSKAD-euclideanAUC65.2—Unverified
5COSKAD-radialAUC63.4—Unverified
6MPED-RNNAUC61.2—Unverified
7GEPCAUC55.2—Unverified
8BiPOCOAUC52.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VADMambaAUC91.5—Unverified
2MAMAAUC91.2—Unverified
3HF2-VADAUC91.1—Unverified
4AnyAnomalyAUC87.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC85.75—Unverified
2TSGADAUC80.6—Unverified
3VADMambaAUC77—Unverified
4HF2-VADAUC76.2—Unverified
#ModelMetricClaimedVerifiedStatus
1AnyAnomalyAUC74.5—Unverified
2TrajRECAUC68—Unverified
#ModelMetricClaimedVerifiedStatus
1PoseWatch-HAUC67.04—Unverified
#ModelMetricClaimedVerifiedStatus
1MULDE-object-centric-microAUC94.3—Unverified
#ModelMetricClaimedVerifiedStatus
1HF2-VADAUC0.99—Unverified
#ModelMetricClaimedVerifiedStatus
1AnyAnomalyAUC79.7—Unverified
#ModelMetricClaimedVerifiedStatus
1VADMambaAUC98.5—Unverified