SOTAVerified

Video Anomaly Detection

Papers

Showing 201225 of 262 papers

TitleStatusHype
SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model0
A Survey of Single-Scene Video Anomaly Detection0
Spatio-Temporal-based Context Fusion for Video Anomaly Detection0
Spatio-temporal predictive tasks for abnormal event detection in videos0
Spatio-Temporal Relation Learning for Video Anomaly Detection0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection0
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection0
Street Scene: A new dataset and evaluation protocol for video anomaly detection0
Survey on video anomaly detection in dynamic scenes with moving cameras0
Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection0
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection0
Abnormal Event Detection In Videos Using Deep Embedding0
Towards Open Set Video Anomaly Detection0
Anomize: Better Open Vocabulary Video Anomaly Detection0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline0
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos0
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings0
Anomaly detection in non-stationary videos using time-recursive differencing network based prediction0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning0
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies0
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection0
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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