PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas · CVPR 2017 · 2017
- Status
- To read
- Topics
- backbones
- Feeds
- First paper · height sampling
What they did
Introduces PointNet, a network that consumes raw point sets directly and respects their permutation invariance, with one architecture for classification, part segmentation and scene parsing.
My note
No note yet.
Code
- Repository
- charlesq34/pointnet
- Framework
- TensorFlow
- Licence
- See the repository
- My status
- Not tried
BibTeX
@inproceedings{qi2017-pointnet,
title = {{PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation}},
author = {Charles R. Qi and Hao Su and Kaichun Mo and Leonidas J. Guibas},
booktitle = {CVPR 2017},
year = {2017},
eprint = {1612.00593},
archivePrefix = {arXiv}
}