Method Details
Details for method 'LGE A&B Center: HANet (ResNet-101)'
Method overview
| name | LGE A&B Center: HANet (ResNet-101) |
| challenge | pixel-level semantic labeling |
| details | Dataset: "fine train + fine val", No coarse, Backbone: ImageNet pretrained ResNet-101 |
| publication | Cars Can’t Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks Sungha Choi (LGE, Korea Univ.), Joanne T. Kim (Korea Univ.), Jaegul Choo (KAIST) CVPR 2020 https://arxiv.org/abs/2003.05128 |
| project page / code | https://github.com/shachoi/HANet |
| used Cityscapes data | fine annotations |
| used external data | ImageNet |
| runtime | n/a |
| subsampling | no |
| submission date | January, 2020 |
| previous submissions |
Average results
| Metric | Value |
|---|---|
| IoU Classes | 82.0923 |
| iIoU Classes | 62.1944 |
| IoU Categories | 91.9537 |
| iIoU Categories | 81.157 |
Class results
| Class | IoU | iIoU |
|---|---|---|
| road | 98.8433 | - |
| sidewalk | 88.0083 | - |
| building | 93.9228 | - |
| wall | 60.526 | - |
| fence | 63.3308 | - |
| pole | 71.2508 | - |
| traffic light | 78.1123 | - |
| traffic sign | 81.3129 | - |
| vegetation | 94.0438 | - |
| terrain | 72.8905 | - |
| sky | 96.0918 | - |
| person | 87.8972 | 71.3994 |
| rider | 74.4754 | 54.7371 |
| car | 96.4582 | 91.6049 |
| truck | 76.9925 | 46.1673 |
| bus | 88.0295 | 60.5 |
| train | 85.8806 | 57.0095 |
| motorcycle | 72.6796 | 50.5946 |
| bicycle | 79.0076 | 65.5425 |
Category results
| Category | IoU | iIoU |
|---|---|---|
| flat | 98.7779 | - |
| nature | 93.7127 | - |
| object | 76.7702 | - |
| sky | 96.0918 | - |
| construction | 94.2231 | - |
| human | 88.0922 | 72.4296 |
| vehicle | 96.0079 | 89.8844 |