New paper about a benchmark dataset of semantic urban meshes
Oct 5, 2021

A new paper has been published:

@article{sum2021,
author = {Weixiao Gao and Liangliang Nan and Bas Boom and Hugo Ledoux},
title = {SUM: A Benchmark Dataset of Semantic Urban Meshes},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {179},
pages = {108-120},
year={2021},
issn = {0924-2716},
doi = {10.1016/j.isprsjprs.2021.07.008},
url = {https://www.sciencedirect.com/science/article/pii/S0924271621001854},
}

The contributions of this paper are a semantic-rich urban mesh dataset of six classes of common urban objects with texture information; a semi-automatic mesh annotation framework consisting of two parts: a pipeline for semantic mesh segmentation and an annotation tool for semantic refinement; a comprehensive evaluation and comparison of the state-of-the-art semantic segmentation methods on the new dataset. For more information, please visit our project website.