Method Details
Details for method 'TKCN'
Method overview
name | TKCN |
challenge | pixel-level semantic labeling |
details | We proposed a novel kronecker convolution networks for semantic image segmentation. Submission was previously published with name "Kronecker Convolution Networks". |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations |
used external data | ImageNet |
runtime | 1 s Tesla K80 |
subsampling | no |
submission date | February, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 78.8518 |
iIoU Classes | 56.8644 |
IoU Categories | 90.6926 |
iIoU Categories | 77.4714 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.4268 | - |
sidewalk | 85.3838 | - |
building | 92.9535 | - |
wall | 53.4949 | - |
fence | 62.2114 | - |
pole | 66.4596 | - |
traffic light | 74.9408 | - |
traffic sign | 79.0891 | - |
vegetation | 93.4821 | - |
terrain | 72.5224 | - |
sky | 94.7897 | - |
person | 86.2491 | 66.6433 |
rider | 69.8628 | 48.4754 |
car | 95.9119 | 89.1979 |
truck | 67.8552 | 40.214 |
bus | 83.753 | 51.9918 |
train | 76.9482 | 52.7598 |
motorcycle | 67.4482 | 43.3514 |
bicycle | 76.4019 | 62.2819 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.6634 | - |
nature | 93.2069 | - |
object | 72.8903 | - |
sky | 94.7897 | - |
construction | 93.4489 | - |
human | 86.5793 | 67.6839 |
vehicle | 95.2696 | 87.2589 |