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Video Anomaly Detection on ShanghaiTech

0.9832ROC AUC

CLIP-TSA

Updated 1mo ago

Evaluation Results

Method
CLIP-TSA 2024.08	0.9832	-	-	-	-	-	-
STPrompt 2024.08	0.9781	-	-	-	-	-	-
DMU 2024.08	0.9757	-	-	-	-	-	-
MIL-BERT 2022.10	0.9754	-	-	-	-	-	-
VadCLIP 2024.08	0.9749	-	-	-	-	-	-
[28] 2022.10	0.9748	-	-	-	-	-	-
[14] 2022.10	0.9732	-	-	-	-	-	-
RTFM 2022.10	0.9721	-	-	-	-	-	-
VigilFormer 2026.05	0.9721	-	-	-	-	-	-
MSL 2024.08	0.972	-	-	-	-	-	-
OPVAD 2024.08	0.9698	-	-	-	-	-	-
BN-WVAD 2026.05	0.9681	-	-	-	-	-	-
UMIL 2024.08	0.9678	-	-	-	-	-	-
RTFM 2024.08	0.9676	-	-	-	-	-	-
STG-NF 2026.05	0.9675	-	-	-	-	-	-
UR-DMU 2026.05	0.9674	-	-	-	-	-	-
CLIP-TSA 2026.05	0.9642	-	-	-	-	-	-
SSRL 2024.08	0.9622	-	-	-	-	-	-
MGFN 2026.05	0.9615	-	-	-	-	-	-
Wu et al. 2024.08	0.9524	-	-	-	-	-	-
Mist 2022.10	0.9483	-	-	-	-	-	-
MIST 2026.05	0.9483	-	-	-	-	-	-
MSL 2026.05	0.9481	-	-	-	-	-	-
Sultani et al. 2024.08	0.9172	-	-	-	-	-	-
RTFM 2026.05	0.9151	-	-	-	-	-	-
SSMT 2022.03	0.902	-	-	-	-	-	-
Zaheer et al. [21] 2020.07	0.8967	-	-	-	-	-	-
SSMT 2022.03	0.893	-	-	-	-	-	-
Proposed (our network + our loss) 2020.07	0.8742	-	-	-	-	-	-
Sultani et al. 2026.05	0.863	-	-	-	-	-	-
[17] 2022.10	0.853	-	-	-	-	-	-
GCN-Anomaly 2026.05	0.8444	-	-	-	-	-	-
Zaheer et al. [53] 2020.07	0.8416	-	-	-	-	-	-
SSMT 2022.03	0.835	-	-	-	-	-	-
BAF 2022.03	0.827	-	-	-	41.43	78.79	-
Sultani et al. 2024.08	0.8025	-	-	-	-	-	-
OMAE 2022.03	0.7918	-	-	-	51.51	82.19	-
dummyAE 2022.03	0.787	-	-	-	20.7	44.5	-
Zhong et al. 2020.07	0.7644	-	-	-	-	-	-
Multi-timescale model (Ours) 2019.08	0.7603	-	-	-	-	-	-
VEC-AM 2020.08	0.748	-	-	-	-	-	-
VEC-A 2020.08	0.747	-	-	-	-	-	-
AnoPCN 2020.08	0.736	-	-	-	-	-	-
MPED-RNN 2019.03	0.734	-	-	-	-	-	-
Morais et al. 2019.08	0.734	-	-	-	-	-	-
Skeleton-Trajectories + MPED-RNN 2020.08	0.734	-	-	-	-	-	-
Prediction&Reconstruction 2020.08	0.73	-	-	-	-	-	-
Liu et al. 2019.03	0.728	-	-	-	-	-	-
Liu et al. 2019.08	0.728	-	-	-	-	-	-
Frame-Prediction 2020.08	0.728	-	-	-	-	-	-
Abati et al. 2019.08	0.725	-	-	-	-	-	-
PDE-AE 2020.08	0.725	-	-	-	-	-	-
MNAD 2022.03	0.725	-	-	-	-	-	-
Mem-AE 2020.08	0.712	-	-	-	-	-	-
MemAE 2022.03	0.712	-	-	-	-	-	-
Conv-AE 2019.03	0.704	-	-	-	-	-	-
Conv-AE 2019.08	0.704	-	-	-	-	-	-
TSC SRNN 2019.03	0.68	-	-	-	-	-	-
TSC-rRNN 2019.08	0.68	-	-	-	-	-	-
SRNN 2020.08	0.68	-	-	-	-	-	-
CAE 2020.08	0.609	-	-	-	-	-	-
MemAE 2022.04	-	0.712	-	-	-	-	-
MNAD-R 2022.04	-	0.698	-	-	-	-	-
Frame-Pred. 2022.04	-	0.728	-	-	-	-	-
MNAD-P 2022.04	-	0.705	-	-	-	-	-
VEC 2022.04	-	0.748	-	-	-	-	-
Stacked RNN 2022.04	-	0.68	-	-	-	-	-
AnoPCN 2022.04	-	0.736	-	-	-	-	-
AMMC-Net 2022.04	-	0.737	-	-	-	-	-
HF2-VAD 2022.04	-	0.762	-	-	-	-	-
AMSRC 2022.04	-	0.763	-	-	-	-	-
FFP 2022.09	-	-	0.728	-	-	-	-
MemAE 2022.09	-	-	0.712	-	-	-	-
OADA 2022.09	-	-	-	84.9	-	-	-
MPED-RNN 2022.09	-	-	0.734	-	-	-	-
BMAN 2022.09	-	-	0.762	-	-	-	-
r-GAN 2022.09	-	-	0.779	-	-	-	-
GEPC 2022.09	-	-	0.761	-	-	-	-
MNAD 2022.09	-	-	0.705	-	-	-	-
MTP 2022.09	-	-	0.76	-	-	-	-
Ada-Net 2022.09	-	-	0.7	-	-	-	-
CAC 2022.09	-	-	0.793	-	-	-	-
VEC-AM 2022.09	-	-	0.748	-	-	-	-
Multispace 2022.09	-	-	0.736	-	-	-	-
AMMC-Net 2022.09	-	-	0.737	-	-	-	-
MESDnet 2022.09	-	-	0.732	-	-	-	-
BAF 2022.09	-	-	0.827	89.3	-	-	-
SSMTL 2022.09	-	-	-	90.2	-	-	-
HF2-VAD 2022.09	-	-	0.762	-	-	-	-
F2PN 2022.09	-	-	0.73	-	-	-	-
LLSH 2022.09	-	-	0.776	85.9	-	-	-
SRNN-AE 2022.09	-	-	0.696	-	-	-	-
MPN 2022.09	-	-	0.738	-	-	-	-
SmithNet 2022.09	-	-	0.738	-	-	-	-
ROADMAP 2022.09	-	-	0.766	-	-	-	-
HSTGCNN 2022.09	-	-	0.818	-	-	-	-
SSAGAN 2022.09	-	-	0.743	-	-	-	-
VABD 2022.09	-	-	0.782	-	-	-	-
STU-Net 2022.09	-	-	0.797	87.6	-	-	-
iL2SH 2022.09	-	-	0.81	87.2	-	-	-

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