Weakly Supervised Learning Model for Clustering and Segmentation of 3D Point on Cloud Shape Data
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3177-4_40
Reference29 articles.
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3. Sareen KK, Knopf GK, Canas R (2010) Rapid clustering of colorized 3D point cloud data for reconstructing building interiors. In: 2010 International symposium on optomechatronic technologies. Toronto, ON, Canada, pp 1–6. https://doi.org/10.1109/ISOT.2010.5687331
4. Sun W et al Point cloud semantic segmentation algorithm based on multi-information Markov random field. In: 2018 IEEE symposium series on computational intelligence (SSCI). Bangalore, India, pp 287–294. https://doi.org/10.1109/SSCI.2018.8628817
5. Arrieta J, Mera C, Espinosa A (2020) Evaluation of weakly supervised learning paradigms on automatic visual inspection. IEEE Lat Am Trans 18(06):1017–1025. https://doi.org/10.1109/TLA.2020.9099678
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