SOTAVerified

Video Anomaly Detection

Papers

Showing 1–25 of 262 papers

TitleStatusHype
Hawk: Learning to Understand Open-World Video AnomaliesCode3
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language ModelsCode2
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly DetectionCode2
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly DetectionCode2
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLMCode2
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly DetectionCode1
Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly DetectionCode1
Future Frame Prediction for Anomaly Detection -- A New BaselineCode1
FastAno: Fast Anomaly Detection via Spatio-temporal Patch TransformationCode1
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly DetectionCode1
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep ModelsCode1
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
Anomaly detection in surveillance videos using transformer based attention modelCode1
Delving into CLIP latent space for Video Anomaly RecognitionCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
BatchNorm-based Weakly Supervised Video Anomaly DetectionCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
An Attribute-based Method for Video Anomaly DetectionCode1
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame PredictionCode1
CHAD: Charlotte Anomaly DatasetCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
Attention-based residual autoencoder for video anomaly detectionCode1
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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