Commit 57a909d1 authored by Benjamin Thomas Graham's avatar Benjamin Thomas Graham
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...@@ -148,36 +148,37 @@ SparseConvNet is Attribution-NonCommercial 4.0 International licensed, as found ...@@ -148,36 +148,37 @@ SparseConvNet is Attribution-NonCommercial 4.0 International licensed, as found
7. [Submanifold Sparse Convolutional Networks, 2017](https://arxiv.org/abs/1706.01307) Introduces deep 'submanifold' SparseConvNets. 7. [Submanifold Sparse Convolutional Networks, 2017](https://arxiv.org/abs/1706.01307) Introduces deep 'submanifold' SparseConvNets.
8. [Workshop on Learning to See from 3D Data, 2017](https://shapenet.cs.stanford.edu/iccv17workshop/) First place in the [semantic segmentation](https://shapenet.cs.stanford.edu/iccv17/) competition. [Report](https://arxiv.org/pdf/1710.06104) 8. [Workshop on Learning to See from 3D Data, 2017](https://shapenet.cs.stanford.edu/iccv17workshop/) First place in the [semantic segmentation](https://shapenet.cs.stanford.edu/iccv17/) competition. [Report](https://arxiv.org/pdf/1710.06104)
9. [3D Semantic Segmentation with Submanifold Sparse Convolutional Networks, 2017](https://arxiv.org/abs/1711.10275) Semantic segmentation for the ShapeNet Core55 and NYU-DepthV2 datasets, CVPR 2018 9. [3D Semantic Segmentation with Submanifold Sparse Convolutional Networks, 2017](https://arxiv.org/abs/1711.10275) Semantic segmentation for the ShapeNet Core55 and NYU-DepthV2 datasets, CVPR 2018
10. [ScanNet 3D semantic label benchmark 2018](http://kaldir.vc.in.tum.de/scannet_benchmark/semantic_label_3d) 0.726 average IOU.
## Citations ## Citations
If you find this code useful in your research then please cite: If you find this code useful in your research then please cite:
**[Submanifold Sparse Convolutional Networks, https://arxiv.org/abs/1706.01307](https://arxiv.org/abs/1706.01307)** <br /> **[3D Semantic Segmentation with Submanifold Sparse Convolutional Networks, CVPR 2018](https://arxiv.org/abs/1711.10275)** <br />
[Benjamin Graham](https://research.fb.com/people/graham-benjamin/), <br /> [Benjamin Graham](https://research.fb.com/people/graham-benjamin/), <br />
[Martin Engelcke](http://ori.ox.ac.uk/mrg_people/martin-engelcke/), <br />
[Laurens van der Maaten](https://lvdmaaten.github.io/), <br /> [Laurens van der Maaten](https://lvdmaaten.github.io/), <br />
``` ```
@article{SubmanifoldSparseConvNet, @article{3DSemanticSegmentationWithSubmanifoldSparseConvNet,
title={Submanifold Sparse Convolutional Networks}, title={3D Semantic Segmentation with Submanifold Sparse Convolutional Networks},
author={Graham, Benjamin and van der Maaten, Laurens}, author={Graham, Benjamin and Engelcke, Martin and van der Maaten, Laurens},
journal={arXiv preprint arXiv:1706.01307}, journal={CVPR},
year={2017} year={2018}
} }
``` ```
and/or and/or
**[3D Semantic Segmentation with Submanifold Sparse Convolutional Networks, CVPR 2018](https://arxiv.org/abs/1711.10275)** <br /> **[Submanifold Sparse Convolutional Networks, https://arxiv.org/abs/1706.01307](https://arxiv.org/abs/1706.01307)** <br />
[Benjamin Graham](https://research.fb.com/people/graham-benjamin/), <br /> [Benjamin Graham](https://research.fb.com/people/graham-benjamin/), <br />
[Martin Engelcke](http://ori.ox.ac.uk/mrg_people/martin-engelcke/), <br />
[Laurens van der Maaten](https://lvdmaaten.github.io/), <br /> [Laurens van der Maaten](https://lvdmaaten.github.io/), <br />
``` ```
@article{3DSemanticSegmentationWithSubmanifoldSparseConvNet, @article{SubmanifoldSparseConvNet,
title={3D Semantic Segmentation with Submanifold Sparse Convolutional Networks}, title={Submanifold Sparse Convolutional Networks},
author={Graham, Benjamin and Engelcke, Martin and van der Maaten, Laurens}, author={Graham, Benjamin and van der Maaten, Laurens},
journal={CVPR}, journal={arXiv preprint arXiv:1706.01307},
year={2018} year={2017}
} }
``` ```
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