Method Details
Details for method 'TuSimple'
Method overview
name | TuSimple |
challenge | pixel-level semantic labeling |
details | |
publication | Understanding Convolution for Semantic Segmentation Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell https://arxiv.org/abs/1702.08502 |
project page / code | https://github.com/TuSimple/TuSimple-DUC |
used Cityscapes data | fine annotations |
used external data | ImageNet |
runtime | n/a |
subsampling | no |
submission date | November, 2016 |
previous submissions | 1, 2, 3 |
Average results
Metric | Value |
---|---|
IoU Classes | 77.6005 |
iIoU Classes | 53.5518 |
IoU Categories | 90.1338 |
iIoU Categories | 75.2317 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.4685 | - |
sidewalk | 85.5064 | - |
building | 92.7747 | - |
wall | 58.5983 | - |
fence | 55.4993 | - |
pole | 65.0465 | - |
traffic light | 73.4678 | - |
traffic sign | 77.8542 | - |
vegetation | 93.2555 | - |
terrain | 72.0277 | - |
sky | 95.2064 | - |
person | 84.7767 | 62.7137 |
rider | 68.4852 | 43.9108 |
car | 95.3674 | 88.1879 |
truck | 70.9224 | 38.5075 |
bus | 78.753 | 49.7417 |
train | 68.6771 | 40.274 |
motorcycle | 65.9145 | 43.6938 |
bicycle | 73.8075 | 61.3854 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.5911 | - |
nature | 92.9609 | - |
object | 71.9139 | - |
sky | 95.2064 | - |
construction | 92.9901 | - |
human | 84.7784 | 63.9606 |
vehicle | 94.4958 | 86.5028 |