Method Details
Details for method 'RMNet'
Method overview
name | RMNet |
challenge | pixel-level semantic labeling |
details | A fast and light net for semantic segmentation. |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations |
used external data | |
runtime | 0.014 s GPU |
subsampling | no |
submission date | April, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 64.4618 |
iIoU Classes | 37.3235 |
IoU Categories | 84.5872 |
iIoU Categories | 67.7412 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 97.5079 | - |
sidewalk | 79.3478 | - |
building | 88.5011 | - |
wall | 37.0308 | - |
fence | 40.1823 | - |
pole | 52.6294 | - |
traffic light | 55.6742 | - |
traffic sign | 58.2178 | - |
vegetation | 90.5027 | - |
terrain | 67.2232 | - |
sky | 93.3234 | - |
person | 72.8077 | 51.4873 |
rider | 51.2015 | 28.9839 |
car | 91.4004 | 83.9024 |
truck | 42.5287 | 19.4248 |
bus | 53.6568 | 28.7585 |
train | 52.6539 | 24.1769 |
motorcycle | 41.8686 | 21.6862 |
bicycle | 58.5152 | 40.1679 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.0085 | - |
nature | 90.2129 | - |
object | 58.1342 | - |
sky | 93.3234 | - |
construction | 88.4916 | - |
human | 73.6243 | 53.534 |
vehicle | 90.3152 | 81.9485 |