Method Details
Details for method 'AdapNetv2_ROB'
Method overview
name | AdapNetv2_ROB |
challenge | pixel-level semantic labeling |
details | |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations |
used external data | ImageNet |
runtime | n/a |
subsampling | no |
submission date | June, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 63.7569 |
iIoU Classes | 34.9221 |
IoU Categories | 84.2818 |
iIoU Categories | 62.4002 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 97.614 | - |
sidewalk | 79.1546 | - |
building | 88.7351 | - |
wall | 37.8351 | - |
fence | 33.0608 | - |
pole | 48.2792 | - |
traffic light | 50.1136 | - |
traffic sign | 59.0733 | - |
vegetation | 89.9746 | - |
terrain | 67.0356 | - |
sky | 93.8044 | - |
person | 73.5049 | 42.8935 |
rider | 50.5188 | 23.7107 |
car | 92.4224 | 83.527 |
truck | 46.323 | 18.4356 |
bus | 58.4978 | 31.6116 |
train | 42.9393 | 17.0481 |
motorcycle | 42.5657 | 21.6881 |
bicycle | 59.9282 | 40.4622 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.184 | - |
nature | 89.9833 | - |
object | 53.9368 | - |
sky | 93.8044 | - |
construction | 88.7993 | - |
human | 74.0933 | 44.315 |
vehicle | 91.1716 | 80.4853 |