Method Details
Details for method 'ddl_seg'
Method overview
name | ddl_seg |
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 | December, 2020 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 84.5846 |
iIoU Classes | 69.4181 |
IoU Categories | 92.7584 |
iIoU Categories | 84.4475 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.9713 | - |
sidewalk | 89.2372 | - |
building | 94.7537 | - |
wall | 69.795 | - |
fence | 67.2038 | - |
pole | 73.7137 | - |
traffic light | 76.403 | - |
traffic sign | 82.2031 | - |
vegetation | 94.4369 | - |
terrain | 74.8616 | - |
sky | 96.1653 | - |
person | 89.7118 | 77.1255 |
rider | 77.417 | 60.6897 |
car | 96.9069 | 91.9547 |
truck | 81.402 | 57.7887 |
bus | 95.1262 | 70.7804 |
train | 91.8691 | 65.2224 |
motorcycle | 76.0928 | 61.098 |
bicycle | 80.838 | 70.6855 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.9187 | - |
nature | 94.2542 | - |
object | 78.8144 | - |
sky | 96.1653 | - |
construction | 94.8522 | - |
human | 89.6315 | 77.9478 |
vehicle | 96.6724 | 90.9473 |