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Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
AbstractThis supplementary material provides additional illustrations, visualizations and experiments. We start by showing the color coding and label mapping used for the semantic and instance label results in the paper. Then we provide more details about the 3D fold/curb detection and parameter settings that are used in the paper. Next, we provide additional quantitative and qualitative semi-dense inference results for both semantic and instance segmentation. Finally, we show the ability of our method to annotate 3D point clouds with semantic and instance labels which is a byproduct of our approach.
Related Material
[pdf] [supp][bibtex]@InProceedings{Xie_2016_CVPR,
author = {Xie, Jun and Kiefel, Martin and Sun, Ming-Ting and Geiger, Andreas},
title = {Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
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