Method Details
Details for method 'pruned & dilated inception-resnet-v2 (PD-IR2)'
Method overview
| name | pruned & dilated inception-resnet-v2 (PD-IR2) |
| challenge | pixel-level semantic labeling |
| details | |
| publication | Anonymous |
| project page / code | https://github.com/MalteOeljeklaus/incept_resnet2_segmentation |
| used Cityscapes data | fine annotations, coarse annotations |
| used external data | ImageNet |
| runtime | 0.69 s Nvidia 12GB GTX Titan X (Maxwell) |
| subsampling | no |
| submission date | May, 2017 |
| previous submissions |
Average results
| Metric | Value |
|---|---|
| IoU Classes | 67.2944 |
| iIoU Classes | 42.0699 |
| IoU Categories | 86.5336 |
| iIoU Categories | 68.2818 |
Class results
| Class | IoU | iIoU |
|---|---|---|
| road | 97.8825 | - |
| sidewalk | 81.8671 | - |
| building | 90.183 | - |
| wall | 39.5394 | - |
| fence | 47.7424 | - |
| pole | 54.7841 | - |
| traffic light | 58.1162 | - |
| traffic sign | 69.8859 | - |
| vegetation | 91.2957 | - |
| terrain | 70.3779 | - |
| sky | 94.3589 | - |
| person | 76.9729 | 53.0649 |
| rider | 51.8995 | 35.2961 |
| car | 92.8552 | 82.8592 |
| truck | 40.6886 | 20.8436 |
| bus | 54.2683 | 36.4657 |
| train | 55.2191 | 32.1092 |
| motorcycle | 45.5229 | 28.5122 |
| bicycle | 65.1336 | 47.4078 |
Category results
| Category | IoU | iIoU |
|---|---|---|
| flat | 98.2599 | - |
| nature | 91.0179 | - |
| object | 61.9435 | - |
| sky | 94.3589 | - |
| construction | 90.1621 | - |
| human | 78.403 | 55.3341 |
| vehicle | 91.5902 | 81.2295 |