SOTAVerified

Video Anomaly Detection

Papers

Showing 101150 of 262 papers

TitleStatusHype
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and DestroyerCode0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-DecodingCode0
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose TokenizationCode0
Predicting Next Local Appearance for Video Anomaly DetectionCode0
Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly DetectionCode0
Reasonable Anomaly Detection in Long SequencesCode0
Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial PerturbationsCode0
Video Anomaly Detection by Estimating Likelihood of RepresentationsCode0
Video Anomaly Detection with Structured KeywordsCode0
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous AttentionCode0
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised HorizonCode0
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis0
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving0
Energy-based Models for Video Anomaly Detection0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems0
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network0
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow0
IPAD: Industrial Process Anomaly Detection Dataset0
Just Dance with π! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection0
Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection0
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection0
Video Anomaly Detection for Smart Surveillance0
Video Anomaly Detection in 10 Years: A Survey and Outlook0
Learning Appearance-motion Normality for Video Anomaly Detection0
Discriminative-Generative Dual Memory Video Anomaly Detection0
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions0
Deep Video Anomaly Detection: Opportunities and Challenges0
Video Anomaly Detection using GAN0
Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets and Context Mining0
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange0
LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion0
Deep Learning for Video Anomaly Detection: A Review0
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions0
Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks0
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection0
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection0
Vision-Language Models Assisted Unsupervised Video Anomaly Detection0
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning0
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning0
Look at Adjacent Frames: Video Anomaly Detection without Offline Training0
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach0
Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches0
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection0
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection0
Cross-Domain Video Anomaly Detection without Target Domain Adaptation0
Memory Maps for Video Object Detection and Tracking on UAVs0
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation0
Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review0
Show:102550
← PrevPage 3 of 6Next →

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