Research Article
A Real-Time Image Semantic Segmentation Method Based on Multilabel Classification
Table 4
Comparison of the experiment results on self-built datasets by category.
| Network model | Buildings | Trees | Sky | Cars | Road | Pedestrians | Cyclists | MIoU (%) | Accuracy (%) |
| The proposed model | 81.1 | 85.9 | 82.0 | 83.7 | 95.2 | 42.6 | 50.3 | 74.4 | 89.1 | SegNet | 78.8 | 79.9 | 90.5 | 83.2 | 92.9 | 51.2 | 40.8 | 73.9 | 88.8 | RefineNet | 78.2 | 74.5 | 92.1 | 83.5 | 93.5 | 46.5 | 48.1 | 73.8 | 88.4 | DeepLab | 81.5 | 73.2 | 88.3 | 84.1 | 94.9 | 48.4 | 50.1 | 74.4 | 89.1 | PSPNet | 80 | 74.2 | 90.5 | 83.1 | 90.5 | 49.7 | 47.3 | 73.6 | 88.3 | LRR | 76.4 | 79.3 | 92.5 | 81.5 | 89.7 | 55.2 | 47.5 | 74.6 | 89.2 | Dilation-8 | 77.9 | 85.0 | 92.2 | 79.3 | 92.4 | 52.4 | 48.9 | 75.4 | 91.5 | FCN-8s | 79.9 | 81.5 | 88.6 | 76.8 | 92.2 | 41.6 | 40 | 71.5 | 84.3 |
|
|