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

 

Links

Download results as .csv file

Benchmark page