Method Details


Details for method 'AdapNetv2_ROB'

 

Method overview

name AdapNetv2_ROB
challenge pixel-level semantic labeling
details
publication Anonymous
project page / code
used Cityscapes data fine annotations
used external data ImageNet
runtime n/a
subsampling no
submission date June, 2018
previous submissions

 

Average results

Metric Value
IoU Classes 63.7569
iIoU Classes 34.9221
IoU Categories 84.2818
iIoU Categories 62.4002

 

Class results

Class IoU iIoU
road 97.614 -
sidewalk 79.1546 -
building 88.7351 -
wall 37.8351 -
fence 33.0608 -
pole 48.2792 -
traffic light 50.1136 -
traffic sign 59.0733 -
vegetation 89.9746 -
terrain 67.0356 -
sky 93.8044 -
person 73.5049 42.8935
rider 50.5188 23.7107
car 92.4224 83.527
truck 46.323 18.4356
bus 58.4978 31.6116
train 42.9393 17.0481
motorcycle 42.5657 21.6881
bicycle 59.9282 40.4622

 

Category results

Category IoU iIoU
flat 98.184 -
nature 89.9833 -
object 53.9368 -
sky 93.8044 -
construction 88.7993 -
human 74.0933 44.315
vehicle 91.1716 80.4853

 

Links

Download results as .csv file

Benchmark page