Phase Classification on Pouring
93.07AccuracyLAV + TCC
Evaluation Results
| Method | Links | |
|---|---|---|
| LAV + TCC% of labels=1.02021.03 | 93.07 | |
| Supervised Learning% of labels=1.02021.03 | 92.86 | |
| LAV% of labels=1.02021.03 | 92.84 | |
| LAV% of labels=0.52021.03 | 92.82 | |
| LAV + TCC% of labels=0.12021.03 | 92.78 | |
| LAV + TCC% of labels=0.52021.03 | 92.56 | |
| LAV% of labels=0.12021.03 | 91.61 | |
| TCC% of labels=1.02021.03 | 91.53 | |
| TCC% of labels=0.52021.03 | 91.11 | |
| TCC% of labels=0.12021.03 | 90.65 | |
| TCN% of labels=0.12021.03 | 89.67 | |
| Supervised Learning% of labels=0.52021.03 | 89.57 | |
| TCN% of labels=1.02021.03 | 89.53 | |
| SAL% of labels=1.02021.03 | 88.81 | |
| SAL% of labels=0.12021.03 | 87.63 | |
| SAL% of labels=0.52021.03 | 87.58 | |
| TCN% of labels=0.52021.03 | 87.32 | |
| Imagenet Features% of labels=1.02021.03 | 78.46 | |
| Supervised Learning% of labels=0.12021.03 | 72.44 | |
| Imagenet Features% of labels=0.52021.03 | 71.1 | |
| Imagenet Features% of labels=0.12021.03 | 52.4 | |
| Random Features% of labels=1.02021.03 | 45.1 | |
| Random Features% of labels=0.52021.03 | 44.52 | |
| Random Features% of labels=0.12021.03 | 43.84 |