SOTAVerified

Video Anomaly Detection

Papers

Showing 151–200 of 262 papers

TitleStatusHype
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance—0
EVAL: Explainable Video Anomaly Localization—0
Cross-Domain Video Anomaly Detection without Target Domain Adaptation—0
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly DetectionCode1
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning—0
An Attribute-based Method for Video Anomaly DetectionCode1
Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial PerturbationsCode0
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly DetectionCode1
Lightning Fast Video Anomaly Detection via Adversarial Knowledge DistillationCode0
Normalizing Flows for Human Pose Anomaly DetectionCode1
Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection—0
LGN-Net: Local-Global Normality Network for Video Anomaly DetectionCode1
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network—0
Exploiting Spatial-temporal Correlations for Video Anomaly Detection—0
Spatio-temporal predictive tasks for abnormal event detection in videos—0
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions—0
Spatio-Temporal-based Context Fusion for Video Anomaly Detection—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
Real-world Video Anomaly Detection by Extracting Salient Features in Videos—0
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly DetectionCode0
Towards Open Set Video Anomaly Detection—0
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection—0
Look at Adjacent Frames: Video Anomaly Detection without Offline Training—0
Learning Appearance-motion Normality for Video Anomaly Detection—0
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw PuzzlesCode1
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection—0
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly DetectionCode0
Leveraging Trajectory Prediction for Pedestrian Video Anomaly DetectionCode1
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange—0
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection—0
Anomaly detection in surveillance videos using transformer based attention modelCode1
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in VideosCode0
Attention-based residual autoencoder for video anomaly detectionCode1
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTMCode0
Object Class Aware Video Anomaly Detection through Image Translation—0
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency—0
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems—0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection—0
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly DetectionCode0
Generative Cooperative Learning for Unsupervised Video Anomaly Detection—0
Object-centric and memory-guided normality reconstruction for video anomaly detection—0
Unsupervised Anomaly Detection from Time-of-Flight Depth Images—0
Latent Outlier Exposure for Anomaly Detection with Contaminated DataCode1
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection—0
Rethinking Video Anomaly Detection - A Continual Learning Approach—0
Approaches Toward Physical and General Video Anomaly DetectionCode0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning—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