الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Anomaly Detection On Ubnormal

المقاييس

AUC

RBDC

TBDC

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	AUC	RBDC	TBDC	Paper Title	Repository
Background-Agnostic Framework	61.3%	25.43	56.27	A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
TimeSformer	68.5%	0.04	0.05	Is Space-Time Attention All You Need for Video Understanding?
AnomalyRuler	71.9%	-	-	Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
MULDE-frame-centric-micro-one-class-classification	72.8%	-	-	MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
COSKAD-euclidean	64.9%	-	-	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
MIL	50.3%	0.002	0.001	Real-world Anomaly Detection in Surveillance Videos
STG-NF - Unsupervised	71.8%	-	-	Normalizing Flows for Human Pose Anomaly Detection
COSKAD-radial	62.9%	-	-	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
COSKAD-hyperbolic	65%	-	-	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
BiPOCO	50.7	-	-	BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection
FPDM	62.7	-	-	Feature Prediction Diffusion Model for Video Anomaly Detection	-
SSMTL++v1	62.1%	25.63	63.53	SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection	-
STG-NF - Supervised	79.2%	-	-	Normalizing Flows for Human Pose Anomaly Detection
MoCoDAD	68.3%	-	-	Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

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