Table 4.
Classification accuracies (%) of features extracted from the five pooling layers
| Features type | Pooling layer | ||||
|---|---|---|---|---|---|
| 1st | 2nd | 3rd | 4th | 5th | |
| FP | 61.0 | 68.5 | 81.2 | 88.0 | 86.5 |
| FW | 57.2 | 66.2 | 79.0 | 83.0 | 78.0 |
| BP | 61.5 | 66.2 | 78.5 | 85.0 | 80.5 |
| BW | 57.7 | 64.7 | 76.7 | 78.5 | 68.5 |
| Combined | 63.2 | 83.2 | 85.7 | 90.7 | 85.2 |
Bold values indicate the best accuracy
FP and FW represent the foreground features using corresponding pooling layer at part-level and whole-level, respectively. Similarly, BP and BW represent background features using the corresponding layer at part-level and whole-level, respectively. Combined features in the last row are the combination of all four types of features ()