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SOTA
Weakly Supervised Video Anomaly Detection
Weakly Supervised Video Anomaly Detection On
Weakly Supervised Video Anomaly Detection On
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AUC-ROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AUC-ROC
Paper Title
Repository
OPVAD
96.98
Open-Vocabulary Video Anomaly Detection
-
S3R
97.48
Self-supervised Sparse Representation for Video Anomaly Detection
CLAV-CoMo
97.59
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
-
MIL-Rank
85.33
Real-world Anomaly Detection in Surveillance Videos
DMU
97.57
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
OCC-WS
96.33
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
RTFM
97.21
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
BN-SVP
96.00
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
-
UML
96.78
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
MIST
94.83
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
RTFM-BERT
97.54
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
STPrompt
97.81
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
-
VadCLIP
97.49
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
AR-Net
91.24
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
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