KITTI-360

A two-stage baseline implemented by KITTI-360 authors. For image
synthesis, we project non-occluded colored points to test viewpoints,
followed by nearest neighbor interpolation to fill in the missing values.
We then apply PSPNet on the synthesized images for semantic
segmentation.

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@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},
}