Method Details
Details for method 'SSNet'
Method overview
name | SSNet |
challenge | pixel-level semantic labeling |
details | |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations, stereo |
used external data | |
runtime | n/a |
subsampling | no |
submission date | June, 2022 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 72.4569 |
iIoU Classes | 51.6832 |
IoU Categories | 89.8929 |
iIoU Categories | 78.2051 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 97.9209 | - |
sidewalk | 81.7155 | - |
building | 92.1423 | - |
wall | 44.9307 | - |
fence | 50.6749 | - |
pole | 65.0469 | - |
traffic light | 72.2528 | - |
traffic sign | 76.5934 | - |
vegetation | 92.5791 | - |
terrain | 68.0059 | - |
sky | 95.074 | - |
person | 84.8385 | 67.56 |
rider | 65.3312 | 48.0064 |
car | 94.6773 | 88.6417 |
truck | 52.2488 | 32.1131 |
bus | 63.7498 | 43.908 |
train | 47.0459 | 31.6791 |
motorcycle | 58.2837 | 42.5622 |
bicycle | 73.5692 | 58.9947 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.3971 | - |
nature | 92.267 | - |
object | 71.6913 | - |
sky | 95.074 | - |
construction | 92.2081 | - |
human | 85.3385 | 69.2455 |
vehicle | 94.2742 | 87.1647 |