Method Details


Details for method 'MIX6D_RVC'

 

Method overview

name MIX6D_RVC
challenge pixel-level semantic labeling
details
publication Anonymous
project page / code
used Cityscapes data fine annotations
used external data scannet, ade20k, mvd, viper, wilddash
runtime n/a
subsampling no
submission date September, 2022
previous submissions

 

Average results

Metric Value
IoU Classes 78.0842
iIoU Classes 56.1325
IoU Categories 88.5805
iIoU Categories 74.4063

 

Class results

Class IoU iIoU
road 97.9244 -
sidewalk 81.9009 -
building 92.1661 -
wall 63.8141 -
fence 58.7998 -
pole 58.5399 -
traffic light 68.9795 -
traffic sign 72.6393 -
vegetation 92.8229 -
terrain 68.2526 -
sky 94.7143 -
person 82.6077 63.9771
rider 64.6204 42.2513
car 94.6096 85.3464
truck 75.6274 42.5884
bus 90.206 55.4916
train 86.2653 58.2328
motorcycle 66.6337 43.6463
bicycle 72.4763 57.5262

 

Category results

Category IoU iIoU
flat 97.6801 -
nature 92.3876 -
object 65.7499 -
sky 94.7143 -
construction 92.0112 -
human 83.3857 65.2126
vehicle 94.1344 83.5999

 

Links

Download results as .csv file

Benchmark page