The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Open accessAbstract
We introduce Similarity Group Proposal Network (SGPN), a simple and intuitive deep learning framework for 3D object instance segmentation on point clouds. SGPN uses a single network to predict point grouping proposals and a corresponding semantic class for each proposal, from which we can directly extract instance segmentation results. Important to the effectiveness of SGPN is its novel representation of 3D instance segmentation results in the form of a similarity matrix that indicates the similarity between each pair of points in embedded feature space, thus producing an accurate grouping proposal for each point. Experimental results on various 3D scenes show the effectiveness of our method on 3D instance segmentation, and we also evaluate the capability of SGPN to improve 3D object detection and semantic segmentation results. We also demonstrate its flexibility by seamlessly incorporating 2D CNN features into the framework to boost performance.
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Huang, Y., Du, J., Yang, Z., Zhou, Z., Zhang, L., & Chen, H. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3167103 · Cited by 677
Mo, K., Zhu, S., Chang, A. X., Yi, L., Tripathi, S., Guibas, L. J., & Su, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00100 · Cited by 667
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Xie, Y., Tian, J., & Zhu, X. X. (2020) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2019.2937630 · Cited by 482
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Metadata
- Authors
- Wang, W., Yu, R., Huang, Q., & Neumann, U.
- Venue
- 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2018-06
- Pages
- 2569-2578
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2769312834
- Cited by
- 544
- References
- 55
- FWCI
- 104.23
- Type
- conference paper
- Language
- en
- Open access
- green
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- Wang, W., Yu, R., Huang, Q., & Neumann, U. (2018). SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2018.00272
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