Research Article
Deep Ensemble Learning for Human Action Recognition in Still Images
Table 8
Results for DELVS in the Willow action dataset.
| Model | Strategy | Sensitivity for each class | Overall | Inter.W.C. | Photog. | P.Music | R.Bike | R.Horse | Running | Walking | Acc |
| DELVS1 | Hard | 0.9 | 0.57 | 0.75 | 0.97 | 0.88 | 0.52 | 0.22 | 0.6727 | Soft | 0.9 | 0.61 | 0.78 | 0.97 | 0.88 | 0.6 | 0.37 | 0.7189 | Tuning | 0.93 | 0.6 | 0.7890 | 0.96 | 0.88 | 0.59 | 0.4 | 0.7229 |
| DELVS2 | Hard | 0.83 | 0.53 | 0.75 | 0.93 | 0.92 | 0.64 | 0.37 | 0.6968 | Soft | 0.9 | 0.48 | 0.73 | 0.95 | 0.92 | 0.62 | 0.45 | 0.7048 | Tuning | 0.9 | 0.45 | 0.75 | 0.95 | 0.94 | 0.64 | 0.51 | 0.7189 |
| DELVS3 | Hard | 0.9 | 0.59 | 0.75 | 0.95 | 0.94 | 0.62 | 0.32 | 0.7048 | Soft | 0.93 | 0.56 | 0.76 | 0.95 | 0.92 | 0.62 | 0.41 | 0.7189 | Tuning | 0.9 | 0.65 | 0.79 | 0.95 | 0.94 | 0.64 | 0.39 | 0.7369 |
|
|