Method Details
Details for method 'GUNet'
Method overview
| name | GUNet |
| challenge | pixel-level semantic labeling |
| details | Guided Upsampling Network for Real-Time Semantic Segmentation |
| publication | Guided Upsampling Network for Real-Time Semantic Segmentation Davide Mazzini arxiv https://arxiv.org/abs/1807.07466 |
| project page / code | |
| used Cityscapes data | fine annotations |
| used external data | ImageNet |
| runtime | 0.03 s Titan Xp |
| subsampling | 2 |
| submission date | April, 2018 |
| previous submissions |
Average results
| Metric | Value |
|---|---|
| IoU Classes | 70.3817 |
| iIoU Classes | 40.8457 |
| IoU Categories | 86.8188 |
| iIoU Categories | 69.107 |
Class results
| Class | IoU | iIoU |
|---|---|---|
| road | 98.1598 | - |
| sidewalk | 82.6616 | - |
| building | 90.5716 | - |
| wall | 47.3305 | - |
| fence | 45.3676 | - |
| pole | 51.9338 | - |
| traffic light | 59.0903 | - |
| traffic sign | 66.59 | - |
| vegetation | 91.7473 | - |
| terrain | 68.5239 | - |
| sky | 94.8033 | - |
| person | 79.0083 | 53.6719 |
| rider | 59.5358 | 29.9088 |
| car | 94.1197 | 85.5772 |
| truck | 60.3168 | 21.272 |
| bus | 71.4334 | 33.7668 |
| train | 54.0003 | 30.4476 |
| motorcycle | 54.8609 | 25.0472 |
| bicycle | 67.197 | 47.074 |
Category results
| Category | IoU | iIoU |
|---|---|---|
| flat | 98.3561 | - |
| nature | 91.4186 | - |
| object | 59.2429 | - |
| sky | 94.8033 | - |
| construction | 90.8206 | - |
| human | 79.6571 | 55.236 |
| vehicle | 93.4326 | 82.9781 |