Table 4.
Overall performance on the SIFTflow dataset
| Pixel (%) | Class (%) | |
|---|---|---|
| Multiscale ConvNet [14] | 67.9 | 45.9 |
| [14]+cover(balanced) | 72.3 | 50.8 |
| [14]+cover(natural) | 78.5 | 29.6 |
| CNN, Pinheiro et al. [35] | 76.5 | 30.0 |
| RCNN, Pinheiro et al. [35] | 77.7 | 29.8 |
| Superparsing [44] | 76.9 | 29.4 |
| Eigen et al. [42] | 77.1 | 32.5 |
| Tighe et al. [45] | 78.6 | 39.2 |
| Singh et al. [43] | 79.2 | 33.8 |
| Gould et al. [52] | 78.4 | 25.7 |
| Integration model +metric learning [46] | 80.1 | 39.7 |
| Ensemble model +metric learning [15] | 81.2 | 45.5 |
| CNN65-DAG-RNN [53] | 81.1 | 48.2 |
| Yang et al. [13] | 79.8 | 48.7 |
| FCN-8s [54] | 85.9 | 53.9 |
| DAG-RNN [50] | 87.3 | 60.2 |
| RCSL [17] | 80.8 | 41.2 |
| RCSL-seg [17] | 81.6 | 47.5 |
| sRCSL [22] | 82.3 | 49.2 |
| DrsNet | 81.8 | 49.8 |