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Video Anomaly Detection on ShanghaiTech (test)

0.9814AUC

TCA + PEL (Ours)

Updated 4d ago

Evaluation Results

Method
TCA + PEL (Ours) 2023.06	0.9814	0	-	-	-	-	-
Cho et al. 2023.06	0.976	-	-	-	-	-	-
CRFD 2023.06	0.9748	-	-	-	-	-	-
S3R 2023.06	0.9748	-	-	-	-	-	-
S3R 2024.01	0.9748	-	-	-	-	-	-
NL-MIL 2023.06	0.9743	-	-	-	-	-	-
MSL 2023.06	0.9732	-	-	-	-	-	-
Yu et al. 2022.03	0.9727	-	-	-	-	-	-
RTFM 2023.06	0.9721	-	-	-	-	-	-
Purwantu et al. 2022.03	0.9685	-	-	-	-	-	-
UML 2023.06	0.9678	-	-	-	-	-	-
Our_ws (RTFM) 2024.01	0.9633	-	-	-	-	-	-
RTFM 2024.01	0.961	-	-	-	-	-	-
Li et al. 2024.01	0.9608	-	-	-	-	-	-
BN-SVP 2022.03	0.96	-	-	-	-	-	-
MIST 2023.06	0.9483	0.0005	-	-	-	-	-
MIST 2024.01	0.9483	-	-	-	-	-	-
MMIL 2022.03	0.9218	-	-	-	-	-	-
Yu et al. 2022.03	0.9151	-	-	-	-	-	-
RTFM 2024.01	0.9151	-	-	-	-	-	-
AR-Net 2021.04	0.9124	0.1	-	-	-	-	-
AR-Net 2023.06	0.9124	0.001	-	-	-	-	-
Li & Vasconcelos 2022.03	0.904	-	-	-	-	-	-
CLAWS 2022.03	0.8967	-	-	-	-	-	-
CLAWS 2023.06	0.8967	-	-	-	-	-	-
CLAWS 2024.01	0.8967	-	-	-	-	-	-
DAM 2022.03	0.8822	-	-	-	-	-	-
Our_ws 2024.01	0.8818	-	-	-	-	-	-
Our_wocc (STG-NF) 2024.01	0.8637	-	-	-	-	-	-
Sultani et al. 2021.04	0.863	0.15	-	-	-	-	-
MIL-Rank 2023.06	0.863	0.0015	-	-	-	-	-
Proposed GCL_WS 2022.03	0.8621	-	-	-	-	-	-
STG-NF 2024.07	0.859	-	-	-	-	-	-
STG-NF 2024.01	0.859	-	-	-	-	-	-
Ilse et al. 2022.03	0.8578	-	-	-	-	-	-
Our_ws 2024.01	0.8543	-	-	-	-	-	-
AR-Net 2024.01	0.8538	-	-	-	-	-	-
AnomalyRuler 2024.07	0.852	-	-	-	-	-	-
Object-Centric 2021.08	0.849	-	-	-	-	-	-
AnomalyRuler-base 2024.07	0.846	-	-	-	-	-	-
Sultani et al. 2024.01	0.8453	-	-	-	-	-	-
Zhong et al. 2021.04	0.8444	-	-	-	-	-	-
GCN 2022.03	0.8444	-	-	-	-	-	-
Zhong et al. 2022.03	0.8444	-	-	-	-	-	-
GCN 2023.06	0.8444	-	-	-	-	-	-
GCN 2024.01	0.8444	-	-	-	-	-	-
SSL 2024.07	0.843	-	-	-	-	-	-
Jigsaw 2024.01	0.843	-	-	-	-	-	-
Noise Cleaner 2022.03	0.8416	-	-	-	-	-	-
SRF 2022.03	0.8416	-	-	-	-	-	-
Zhong et al. 2021.04	0.8413	-	-	-	-	-	-
Zhong et al. 2022.03	0.8413	-	-	-	-	-	-
SSMTL++ 2024.01	0.838	-	-	-	-	-	-
AnomalyRuler-base 2024.07	0.835	-	-	-	-	-	-
HSC 2024.07	0.834	-	-	-	-	-	-
Georgescu et al. 2021.10	0.827	-	-	-	-	-	-
BAF 2021.08	0.827	-	-	-	-	-	-
BAF 2024.07	0.827	-	-	-	-	-	-
Georgescu et al. 2024.01	0.827	-	-	-	-	-	-
Our_wocc 2024.01	0.8257	-	-	-	-	-	-
Zhang et al. 2021.04	0.825	0.1	-	-	-	-	-
Zhang et al. 2022.03	0.825	-	-	-	-	-	-
IBL 2023.06	0.825	0.001	-	-	-	-	-
Zhang et al. 2024.01	0.825	-	-	-	-	-	-
SSMTL 2021.08	0.824	-	-	-	-	-	-
SSMTL 2024.01	0.824	-	-	-	-	-	-
Our_wocc 2024.01	0.815	-	-	-	-	-	-
MoPRL 2021.12	0.8126	-	-	-	-	-	-
S3R 2024.07	0.805	-	-	-	-	-	-
STG-NF All Data 2024.01	0.8029	-	-	-	-	-	-
Proposed GCL_OCC 2022.03	0.7962	-	-	-	-	-	-
GCL 2024.07	0.796	-	-	-	-	-	-
Wang et al. 2021.10	0.793	-	-	-	-	-	-
CAC 2021.08	0.793	-	-	-	-	-	-
CAC 2024.01	0.793	-	-	-	-	-	-
Proposed GCL_PT 2022.03	0.7893	-	-	-	-	-	-
Ours 2023.03	0.788	-	-	-	-	-	-
AMP-Net 2023.06	0.788	-	-	-	-	-	-
SLM 2024.07	0.788	-	-	-	-	-	-
Ionescu et al. [12] 2021.10	0.787	-	-	-	-	-	-
FPDM 2024.07	0.786	-	-	-	-	-	-
Lu et al. [28] 2021.10	0.779	-	-	-	-	-	-
r-GAN 2021.08	0.779	-	-	-	-	-	-
rGAN 2024.07	0.779	-	-	-	-	-	-
rGAN 2024.07	0.779	-	-	-	-	-	-
CT-D2GAN 2021.08	0.777	-	-	-	-	-	-
CT-D2GAN 2024.01	0.777	-	-	-	-	-	-
RUVAD 2022.03	0.7667	-	-	-	-	-	-
Multipath-Pred. 2021.08	0.766	-	-	-	-	-	-
Zhong et al. 2021.04	0.7644	-	-	-	-	-	-
GCN 2022.03	0.7644	-	-	-	-	-	-
Zhong et al. 2022.03	0.7644	-	-	-	-	-	-
GCN 2024.01	0.7644	-	-	-	-	-	-
BMAN 2021.10	0.762	-	-	-	-	-	-
BMAN 2022.03	0.762	-	-	-	-	-	-
BMAN 2021.08	0.762	-	-	-	-	-	-
HF2 2021.08	0.762	-	-	-	-	-	-
HF2VAD 2023.03	0.762	-	-	-	-	-	-
HF2-VAD 2023.06	0.762	-	-	-	-	-	-
HF2 2024.07	0.762	-	-	-	-	-	-

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