KITTI-360

Method

Free View Synthesis + PSPNet [FVS + PSPNet]


Submitted on 8 Apr. 2022 14:49 by
Yiyi Liao (MPI)

Running time:0.4 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
A two-stage baseline implemented by KITTI-360 authors. Appearance
synthesis is performed by Free View Synthesis using the released model
trained on the Tanks and Temples dataset. We then apply PSPNet on the
synthesized images for semantic segmentation.
Parameters:
none
Latex Bibtex:
@InProceedings{Riegler2020ECCV
author = {Gernot Riegler and Vladlen Koltun},
title = {Free View Synthesis},
booktitle = {ECCV},
year = {2020},
},
@InProceedings{Zhao2017CVPR,
author = {Hengshuang Zhao and Jianping Shi
and Xiaojuan Qi and Xiaogang Wang and Jiaya Jia},
title = {Pyramid Scene Parsing Network},
booktitle = {CVPR},
year = {2017},
}

Detailed Results

This page provides detailed results for the method(s) selected. For the first 10 test images, we display the original image, the color-coded result and an error image. The error image contains 4 colors weighted by the confidence of the pseudo-ground truth:
red: the pixel has the wrong label and the wrong category
yellow: the pixel has the wrong label but the correct category
green: the pixel has the correct label
black: the groundtruth label is not used for evaluation

Test Set Average


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road sidewalk building wall fence pole traffic light traffic sign vegetation terrain sky rider car truck motorcycle mIoU class
91.31 78.19 59.90 48.75 38.82 13.57 0.00 16.49 88.33 86.61 84.89 0.00 88.81 0.00 34.67 60.86
flat construction object nature human vehicle sky mIoU category
92.41 75.61 16.58 89.68 0.00 88.50 84.89 74.61
This table as LaTeX

Test Image 0

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