Anomaly Detection on ShanghaiTech Campus (test)
84.3Micro AUROCSpatio-Temporal Jigsaw Puzzles
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Spatio-Temporal Jigsaw PuzzlesType=SSL2022.07 | 84.3 | — | |
| SS-MTL*Type=SSL2022.07 | 82.4 | — | |
| CACType=SSL2022.07 | 79.3 | — | |
| CAE-SVM*Type=others2022.07 | 78.7 | — | |
| CT-D2GANType=prediction2022.07 | 77.7 | — | |
| Multipath-Pred.Type=prediction2022.07 | 76.6 | — | |
| BMANType=prediction2022.07 | 76.2 | — | |
| HF2-VADType=hybrid2022.07 | 76.2 | — | |
| LNRA (Skip frame based)Type=reconstruction2022.07 | 76 | — | |
| VECType=reconstruction2022.07 | 74.8 | — | |
| Scene-AwareType=others2022.07 | 74.7 | — | |
| AnoPCNType=hybrid2022.07 | 73.6 | — | |
| MPED-RNNType=hybrid2022.07 | 73.4 | — | |
| ClusterAEType=reconstruction2022.07 | 73.3 | — | |
| IntegradAEType=hybrid2022.07 | 73 | — | |
| Frame-Pred.Type=prediction2022.07 | 72.8 | — | |
| LNRA (Patch based)Type=reconstruction2022.07 | 72.5 | — | |
| Mem-AEType=reconstruction2022.07 | 71.2 | — | |
| MNAD-Pred.Type=prediction2022.07 | 70.5 | — | |
| MNAD-Recon.Type=reconstruction2022.07 | 69.8 | — | |
| 13D-Recons.Type=reconstruction2022.07 | 69.4 | — | |
| StackRNNType=reconstruction2022.07 | 68 | — | |
| AMmemPrediction-based=false, Pre-trained module=true2021.06 | — | 73.7 | |
| AnoPCNFPS=10, Prediction-based=true, Pre-trained module=true2021.06 | — | 73.6 | |
| BackAgnosticFPS=18, Prediction-based=false, Pre-trained module=true2021.06 | — | 82.7 | |
| BaselineFPS=195, Prediction-based=true, Pre-trained module=false2021.06 | — | 72.1 | |
| CDDAEFPS=32, Prediction-based=false, Pre-trained module=false2021.06 | — | 73.3 | |
| ConvAEPrediction-based=false, Pre-trained module=false2021.06 | — | 60.9 | |
| Dummy AnoFPS=11, Prediction-based=false, Pre-trained module=true, evaluation_protocol=micro-AUC2021.06 | — | 78.7 | |
| FewShotGANPrediction-based=true, Pre-trained module=true2021.06 | — | 77.9 | |
| FFPFPS=133, Prediction-based=true, Pre-trained module=true, re-implemented=true2021.06 | — | 72.8 | |
| GCLNCFPS=150, Prediction-based=false, Pre-trained module=true2021.06 | — | 84.1 | |
| IntegradAEFPS=30, Prediction-based=true, Pre-trained module=false2021.06 | — | 71.5 | |
| MemAEFPS=42, Prediction-based=false, Pre-trained module=true, re-implemented=true2021.06 | — | 71.2 | |
| MNADFPS=78, Prediction-based=true, Pre-trained module=false, re-implemented=true2021.06 | — | 70.5 | |
| MNADFPS=56, Prediction-based=true, Pre-trained module=false, re-implemented=true2021.06 | — | 69.8 | |
| MTLFPS=21, Prediction-based=false, Pre-trained module=true, evaluation_protocol=micro-AUC2021.06 | — | 82.4 | |
| OursFPS=195, Prediction-based=true, Pre-trained module=false2021.06 | — | 72.2 | |
| StackRNNFPS=50, Prediction-based=false, Pre-trained module=true2021.06 | — | 68 | |
| VECVADFPS=5, Prediction-based=false, Pre-trained module=true2021.06 | — | 74.8 |