User Identification on NTU RGB+D Cross-View (CV)
67.53AccuracyIndRNN
Evaluation Results
| Method | Links | |
|---|---|---|
| IndRNN2026.06 | 67.53 | |
| Multi-task RNN (Late Split FC)Method Variant=Late Split FC2026.06 | 65.2 | |
| Mahal.Scenario=Login, Method Variant=Mahal.2026.06 | 50.92 | |
| Multi-task RNN (Separate Net)Method Variant=Separate Net2026.06 | 47.6 | |
| 3 layer LSTMMethod Variant=3 layer LSTM2026.06 | 43.5 | |
| Mahal.Scenario=Smart Home, Method Variant=Mahal.2026.06 | 41.37 | |
| Anthropometric MeasuresFeature Type=Anthropometric2026.06 | 28.6 | |
| Skeleton FeaturesFeature Type=Skeletal2026.06 | 21 |