Conference item
Learning object bounding boxes for 3D instance segmentation on point clouds
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 2.8MB, Terms of use)
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Authors
- Publisher:
- Neural Information Processing Systems Foundation
- Host title:
- NIPS Proceedings
- Journal:
- NIPS Proceedings More from this journal
- Volume:
- 32
- Pages:
- 1-10
- Publication date:
- 2019-11-18
- Acceptance date:
- 2019-09-04
- Keywords:
- Pubs id:
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pubs:1055701
- UUID:
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uuid:88d0ac18-3cee-44ce-b635-5ade70cd738e
- Local pid:
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pubs:1055701
- Source identifiers:
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1055701
- Deposit date:
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2019-09-25
- ARK identifier:
Terms of use
- Copyright date:
- 2019
- Notes:
- This paper was presented at the 32nd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 2019. This is the accepted manuscript version of the paper. The final version is available online from the Neural Information Processing Systems Foundation at: https://papers.nips.cc/paper/8899-learning-object-bounding-boxes-for-3d-instance-segmentation-on-point-clouds
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