Method Details
Details for method 'EKENet'
Method overview
name | EKENet |
challenge | pixel-level semantic labeling |
details | |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations |
used external data | |
runtime | 0.0229 s Single TITAN X |
subsampling | no |
submission date | October, 2019 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 74.2801 |
iIoU Classes | 44.1444 |
IoU Categories | 87.1856 |
iIoU Categories | 69.928 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.2439 | - |
sidewalk | 83.4838 | - |
building | 91.11 | - |
wall | 59.4676 | - |
fence | 53.4599 | - |
pole | 55.2612 | - |
traffic light | 61.103 | - |
traffic sign | 66.8774 | - |
vegetation | 92.1978 | - |
terrain | 70.3362 | - |
sky | 94.7104 | - |
person | 78.9024 | 56.0463 |
rider | 59.7833 | 31.8356 |
car | 93.6659 | 85.3192 |
truck | 64.3431 | 24.17 |
bus | 85.5251 | 41.1639 |
train | 81.0046 | 37.8257 |
motorcycle | 55.5685 | 30.1394 |
bicycle | 66.2775 | 46.6554 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.3536 | - |
nature | 91.8491 | - |
object | 62.0336 | - |
sky | 94.7104 | - |
construction | 91.2427 | - |
human | 79.0621 | 57.2095 |
vehicle | 93.0479 | 82.6465 |