Anomaly Detection on NTU-RGB+D Few vs. Many (Random split)
0.86AUCSupervised
Evaluation results
| Method | Links | |
|---|---|---|
| SupervisedSupervision=Supervised2019.12 | 0.86 | |
| SupervisedSupervision=Supervised2019.12 | 0.82 | |
| GEPCSupervision=Unsupervised, Clusters (K)=202019.12 | 0.73 | |
| GEPCSupervision=Unsupervised, Clusters (K)=202019.12 | 0.72 | |
| OC-SVMSupervision=Unsupervised, Clusters (K)=202019.12 | 0.6 | |
| OC-SVMSupervision=Unsupervised, Clusters (K)=202019.12 | 0.6 | |
| Liu et al.Supervision=Unsupervised, Clusters (K)=202019.12 | 0.57 | |
| Liu et al.Supervision=Unsupervised, Clusters (K)=202019.12 | 0.56 | |
| Rec. LossSupervision=Unsupervised, Clusters (K)=202019.12 | 0.53 | |
| Rec. LossSupervision=Unsupervised, Clusters (K)=202019.12 | 0.5 |