Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning
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DOI: 10.1109/lra.2022.3224370
Abstract: Self-supervised point cloud understanding can pre-train the point cloud learning network on a large dataset, which helps boost the performance of fine-tuning on other smaller datasets in downstream tasks. Motivated to design an efficient self-supervised… read more here.
Keywords: point cloud; self supervised; point; cloud understanding ... See more keywords