Method Details
Details for method 'Ladder DenseNet v2'
Method overview
name | Ladder DenseNet v2 |
challenge | pixel-level semantic labeling |
details | DenseNet-121 model used in downsampling path with ladder-style skip connections upsampling path on top of it. |
publication | Journal submission |
project page / code | |
used Cityscapes data | fine annotations |
used external data | ImageNet |
runtime | 1 s Titan X Pascal |
subsampling | no |
submission date | January, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 78.4016 |
iIoU Classes | 54.572 |
IoU Categories | 90.8488 |
iIoU Categories | 78.7472 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.6595 | - |
sidewalk | 86.6378 | - |
building | 93.006 | - |
wall | 52.9305 | - |
fence | 56.9256 | - |
pole | 67.1937 | - |
traffic light | 74.4317 | - |
traffic sign | 78.9016 | - |
vegetation | 93.5731 | - |
terrain | 73.1251 | - |
sky | 95.4761 | - |
person | 86.2371 | 68.2703 |
rider | 69.6961 | 45.5005 |
car | 95.9185 | 90.4978 |
truck | 65.8715 | 35.4903 |
bus | 82.1451 | 48.4828 |
train | 76.3336 | 45.4023 |
motorcycle | 66.8348 | 41.7123 |
bicycle | 75.7337 | 61.2198 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.7421 | - |
nature | 93.2652 | - |
object | 73.3422 | - |
sky | 95.4761 | - |
construction | 93.4379 | - |
human | 86.3874 | 69.1188 |
vehicle | 95.2907 | 88.3757 |