Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer

Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger

CVPR 2016

doi:10.1109/CVPR.2016.401 /cvpr/2016/xie2016cvpr-semantic/

Abstract

This 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.

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Cite

Text

Xie et al. "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer." Conference on Computer Vision and Pattern Recognition, 2016. doi:10.1109/CVPR.2016.401

Markdown

[Xie et al. "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer." Conference on Computer Vision and Pattern Recognition, 2016.](https://mlanthology.org/cvpr/2016/xie2016cvpr-semantic/) doi:10.1109/CVPR.2016.401

BibTeX

@inproceedings{xie2016cvpr-semantic,
  title     = {{Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer}},
  author    = {Xie, Jun and Kiefel, Martin and Sun, Ming-Ting and Geiger, Andreas},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2016},
  doi       = {10.1109/CVPR.2016.401},
  url       = {https://mlanthology.org/cvpr/2016/xie2016cvpr-semantic/}
}