SOTAVerified

Video Anomaly Detection

Papers

Showing 201–250 of 262 papers

TitleStatusHype
SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model—0
A Survey of Single-Scene Video Anomaly Detection—0
Spatio-Temporal-based Context Fusion for Video Anomaly Detection—0
Spatio-temporal predictive tasks for abnormal event detection in videos—0
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection—0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection—0
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection—0
Street Scene: A new dataset and evaluation protocol for video anomaly detection—0
Survey on video anomaly detection in dynamic scenes with moving cameras—0
Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder—0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis—0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection—0
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection—0
Abnormal Event Detection In Videos Using Deep Embedding—0
Towards Open Set Video Anomaly Detection—0
Anomize: Better Open Vocabulary Video Anomaly Detection—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline—0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos—0
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings—0
Anomaly detection in non-stationary videos using time-recursive differencing network based prediction—0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning—0
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies—0
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection—0
Unsupervised Anomaly Detection from Time-of-Flight Depth Images—0
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation—0
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism—0
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features—0
An Efficient Approach for Anomaly Detection in Traffic Videos—0
Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection—0
Updated version: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency—0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection—0
A Modular and Unified Framework for Detecting and Localizing Video Anomalies—0
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection—0
VALD-GAN: video anomaly detection using latent discriminator augmented GAN—0
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models—0
Video Anomaly Detection and Explanation via Large Language Models—0
Feature Prediction Diffusion Model for Video Anomaly Detection—0
Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection—0
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes—0
Exploring Diffusion Models for Unsupervised Video Anomaly Detection—0
Exploiting Spatial-temporal Correlations for Video Anomaly Detection—0
Future Video Prediction from a Single Frame for Video Anomaly Detection—0
Generalization of feature embeddings transferred from different video anomaly detection domains—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping—0
Generative Cooperative Learning for Unsupervised Video Anomaly Detection—0
EventVAD: Training-Free Event-Aware Video Anomaly Detection—0
Global Information Guided Video Anomaly Detection—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