HIGHLIGHTS
- who: Ruifeng Zhai and collaborators from the State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, China have published the research: Self-Supervised Learning for Point-Cloud Classification by a Multigrid Autoencoder, in the Journal: Sensors 2022, 22, 8115. of /2022/
- what: The research in this paper focuses on point-based methods. Inspired by the success of self-supervised, transfer, and multitask learning methods applied to 2D image deep learning networks , the authors propose a self-supervised structure with a multigrid autoencoder that effectively improves the classification performance of . . .
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