Method Details


Details for method 'PSPNet'

 

Method overview

name PSPNet
challenge pixel-level semantic labeling
details This submission is trained on coarse+fine(train+val set, 2975+500 images). Former submission is trained on coarse+fine(train set, 2975 images) which gets 80.2 mIoU: https://www.cityscapes-dataset.com/method-details/?submissionID=314 Previous versions of this method were listed as "SenseSeg_1026".
publication Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia
CVPR 2017
https://arxiv.org/abs/1612.01105
project page / code https://hszhao.github.io/projects/pspnet
used Cityscapes data fine annotations, coarse annotations
used external data ImageNet
runtime n/a
subsampling no
submission date May, 2017
previous submissions 1, 2, 3, 4, 5, 6

 

Average results

Metric Value
IoU Classes 81.1947
iIoU Classes 59.6145
IoU Categories 91.15
iIoU Categories 79.2468

 

Class results

Class IoU iIoU
road 98.6814 -
sidewalk 86.9233 -
building 93.4688 -
wall 58.3855 -
fence 63.6752 -
pole 67.6716 -
traffic light 76.1225 -
traffic sign 80.474 -
vegetation 93.6399 -
terrain 72.2031 -
sky 95.2983 -
person 86.8317 69.3269
rider 71.9132 51.1528
car 96.2174 90.2703
truck 77.6988 42.638
bus 91.5102 55.1206
train 83.6401 56.2058
motorcycle 70.8048 48.6919
bicycle 77.5388 63.5096

 

Category results

Category IoU iIoU
flat 98.7071 -
nature 93.3461 -
object 74.192 -
sky 95.2983 -
construction 93.7622 -
human 87.0754 70.2479
vehicle 95.6688 88.2457

 

Links

Download results as .csv file

Benchmark page