Method Details
Details for method 'SwiftNet RN18 pyr sepBN MVD'
Method overview
| name | SwiftNet RN18 pyr sepBN MVD |
| challenge | pixel-level semantic labeling |
| details | |
| publication | Efficient semantic segmentation with pyramidal fusion M Oršić, S Šegvić Pattern Recognition 2020 https://www.sciencedirect.com/science/article/abs/pii/S0031320320304143 |
| project page / code | https://github.com/orsic/swiftnet |
| used Cityscapes data | fine annotations |
| used external data | ImageNet, Vistas |
| runtime | 0.029 s GTX 1080Ti |
| subsampling | no |
| submission date | December, 2019 |
| previous submissions |
Average results
| Metric | Value |
|---|---|
| IoU Classes | 76.3926 |
| iIoU Classes | 52.9273 |
| IoU Categories | 90.2813 |
| iIoU Categories | 77.8563 |
Class results
| Class | IoU | iIoU |
|---|---|---|
| road | 98.5036 | - |
| sidewalk | 85.2552 | - |
| building | 92.7291 | - |
| wall | 53.4133 | - |
| fence | 55.2264 | - |
| pole | 66.1326 | - |
| traffic light | 73.115 | - |
| traffic sign | 77.0777 | - |
| vegetation | 93.3805 | - |
| terrain | 70.4315 | - |
| sky | 95.7646 | - |
| person | 83.8686 | 66.2019 |
| rider | 65.7271 | 43.641 |
| car | 95.4156 | 90.0362 |
| truck | 64.6411 | 33.1843 |
| bus | 78.6245 | 48.3216 |
| train | 65.9622 | 42.2764 |
| motorcycle | 63.027 | 41.6389 |
| bicycle | 73.164 | 58.1182 |
Category results
| Category | IoU | iIoU |
|---|---|---|
| flat | 98.5832 | - |
| nature | 93.0049 | - |
| object | 72.3022 | - |
| sky | 95.7646 | - |
| construction | 93.0807 | - |
| human | 84.2984 | 67.6821 |
| vehicle | 94.9349 | 88.0306 |