Method Details
Details for method 'TKCN'
Method overview
name | TKCN |
challenge | pixel-level semantic labeling |
details | |
publication | Tree-structured Kronecker Convolutional Network for Semantic Segmentation Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Jintao Li https://arxiv.org/abs/1812.04945 |
project page / code | https://github.com/wutianyiRosun/TKCN |
used Cityscapes data | fine annotations |
used external data | ImageNet |
runtime | n/a |
subsampling | no |
submission date | December, 2018 |
previous submissions | 1, 2 |
Average results
Metric | Value |
---|---|
IoU Classes | 79.4531 |
iIoU Classes | 61.2833 |
IoU Categories | 91.0718 |
iIoU Categories | 81.5192 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.416 | - |
sidewalk | 85.7831 | - |
building | 92.9526 | - |
wall | 51.6689 | - |
fence | 61.6981 | - |
pole | 67.5958 | - |
traffic light | 75.7606 | - |
traffic sign | 80.002 | - |
vegetation | 93.6263 | - |
terrain | 72.7388 | - |
sky | 95.4384 | - |
person | 86.8596 | 72.4314 |
rider | 70.8889 | 52.8531 |
car | 95.8876 | 90.9401 |
truck | 64.4598 | 43.5235 |
bus | 86.9121 | 58.265 |
train | 81.7741 | 54.4555 |
motorcycle | 69.5908 | 51.1191 |
bicycle | 77.5552 | 66.6789 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.5843 | - |
nature | 93.3265 | - |
object | 74.0881 | - |
sky | 95.4384 | - |
construction | 93.5448 | - |
human | 87.3175 | 73.5633 |
vehicle | 95.2029 | 89.4751 |