Table 5.
A number of parameters of different algorithms and average detection results in multiple environments (black font indicates the best data, underlined font indicates second best, Ours-1 freezes distorted image reconstruction module).
| Algorithms | FLOPs | Parameters | Average Acc | Average IoU |
|---|---|---|---|---|
| Deep face | 2.7 G | 114.44 M | 79.31% | 0.77 |
| VGG face | 1.6 G | 131.94 M | 80.64% | 0.76 |
| TBE-CNN | 1.75 G | 12.29 M | 84.14% | 0.81 |
| DA-GAN | 2.5 G | 27.38 M | 88.00% | 0.85 |
| PEN-3D | 2.55 G | 4.46 M | 84.06% | 0.81 |
| LMZMPM | 0.72 G | 59.48 M | 91.16% | 0.85 |
|
| ||||
| Ours | 1.44 G | 5.13 M | 92.57% | 0.88 |
| Ours-1 | — | — | 85.24% | 0.80 |