Table 1.
Method | Pars (M) | GA | CA |
MS-D-Net (100 layers) | 0.048 | 85.1 | 56.8 |
MS-D-Net (200 layers) | 0.187 | 87.0 | 63.9 |
U-Net (3 scaling operations) (5) | 1.863 | 83.2 | 50.4 |
U-Net (4 scaling operations) (5) | 1.926 | 85.5 | 48.4 |
SegNet-Basic-EncoderAddition (4) | 1.425 | 84.2 | 56.5 |
SegNet-Basic (4) | 1.425 | 84.0 | 54.6 |
Boosting + Detectors + CRF (31) | 83.8 | 62.5 | |
Super Parsing (32) | 83.3 | 51.2 |
The highest global accuracy, highest local accuracy, and smallest number of parameters out of all tested methods are shown in bold.