Method Details


Details for method 'Ladder DenseNet v2'

 

Method overview

name Ladder DenseNet v2
challenge pixel-level semantic labeling
details DenseNet-121 model used in downsampling path with ladder-style skip connections upsampling path on top of it.
publication Journal submission
project page / code
used Cityscapes data fine annotations
used external data ImageNet
runtime 1 s
Titan X Pascal
subsampling no
submission date January, 2018
previous submissions

 

Average results

Metric Value
IoU Classes 78.4016
iIoU Classes 54.572
IoU Categories 90.8488
iIoU Categories 78.7472

 

Class results

Class IoU iIoU
road 98.6595 -
sidewalk 86.6378 -
building 93.006 -
wall 52.9305 -
fence 56.9256 -
pole 67.1937 -
traffic light 74.4317 -
traffic sign 78.9016 -
vegetation 93.5731 -
terrain 73.1251 -
sky 95.4761 -
person 86.2371 68.2703
rider 69.6961 45.5005
car 95.9185 90.4978
truck 65.8715 35.4903
bus 82.1451 48.4828
train 76.3336 45.4023
motorcycle 66.8348 41.7123
bicycle 75.7337 61.2198

 

Category results

Category IoU iIoU
flat 98.7421 -
nature 93.2652 -
object 73.3422 -
sky 95.4761 -
construction 93.4379 -
human 86.3874 69.1188
vehicle 95.2907 88.3757

 

Links

Download results as .csv file

Benchmark page