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ResearchFormerly WizWand

Video Anomaly Detection on Ped2 classic (test)

98.1AUCUSTN-DSC
81.56485.85790.1594.443Apr 11, 2023Jul 9, 2023Oct 6, 2023Jan 3, 2024Apr 1, 2024Jun 29, 2024Sep 26, 2024
Updated 5mo ago

Evaluation results

MethodLinks
USTN-DSCParadigm=Prediction2023.0498.1
Zhong et al.Paradigm=Reconstruction2023.0497.7
DLAN-ACParadigm=Prediction2023.0497.6
Ada-VADEvaluation protocol=Zero-shot, Training dataset=SHT2024.0997.53
Flow-based (Ours)Evaluation protocol=Zero-shot, Training dataset=SHT2024.0997.53
MNADParadigm=Prediction2023.0497
DeepOCParadigm=others2023.0496.9
MPNParadigm=Prediction2023.0496.9
AMMC-NetParadigm=Prediction2023.0496.9
AnoPCNParadigm=Prediction2023.0496.8
CG-VADEvaluation protocol=Few-shot, Shots=5, Training dataset=SHT2024.0996.7
CDDAParadigm=Reconstruction2023.0496.5
ROADMAPParadigm=Prediction2023.0496.3
AMCParadigm=Reconstruction2023.0496.2
zxVAD (UCF101)Evaluation protocol=Zero-shot, Training dataset=SHT, Feature Domain=UCF1012024.0995.8
zxVAD (SHT)Evaluation protocol=Zero-shot, Training dataset=SHT2024.0995.78
MPNEvaluation protocol=Few-shot, Shots=10, Training dataset=SHT2024.0995.75
zxVAD (HMDB)Evaluation protocol=Zero-shot, Training dataset=SHT, Feature Domain=HMDB2024.0995.74
zxVAD (Jester)Evaluation protocol=Zero-shot, Training dataset=SHT, Feature Domain=Jester2024.0995.62
FFPParadigm=Prediction2023.0495.4
Fore-based (Ours)Evaluation protocol=Zero-shot, Training dataset=SHT2024.0995.36
VADNetEvaluation protocol=Few-shot, Shots=10, Training dataset=SHT2024.0995.12
AnomalyNetParadigm=others2023.0494.9
MemAEParadigm=Reconstruction2023.0494.1
r-GANEvaluation protocol=Few-shot, Shots=10, Training dataset=SHT2024.0992.8
Wang et al.Evaluation protocol=Few-shot, Shots=10, Training dataset=SHT2024.0992.45
Stacked RNNParadigm=Reconstruction2023.0492.2
BG-AgnosticEvaluation protocol=Zero-shot, Training dataset=SHT2024.0990.6
MNADParadigm=Reconstruction2023.0490.2
Conv-AEParadigm=Reconstruction2023.0490
ConvLSTM-AEParadigm=Reconstruction2023.0488.1
UnmaskingParadigm=others2023.0482.2