KITTI-360

Method

PSPNet on Ground Truth Images [GT Image + PSPNet]


Submitted on 8 Apr. 2022 15:54 by
Yiyi Liao (MPI)

Running time:0.2 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
A baseline implemented by KITTI-360 authors. It applies PSPNet on the
original RGB images used as ground truth for the novel view synthesis
task.
Parameters:
none
Latex Bibtex:
@inproceedings{Liao2021Arxiv,
author = {Yiyi Liao and Jun Xie and Andreas
Geiger},
title = {KITTI-360: A Novel Dataset and
Benchmarks for Urban Scene Understanding in 2D and 3D},
booktitle = {ARXIV},
year = {2021},
},
@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
91.74 79.84 66.71 49.80 47.38 24.19 0.00 12.69 89.98 91.29 85.23 0.00 91.71 0.00 35.34 63.82
flat construction object nature human vehicle sky mIoU category
93.13 77.71 31.35 90.72 0.00 91.33 85.23 78.25
This table as LaTeX

Test Image 0

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Test Image 1

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Test Image 2

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Test Image 3

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Test Image 4

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Test Image 5

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Test Image 6

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Test Image 7

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Test Image 8

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Test Image 9

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