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Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
Self-supervised representation learning (SSRL) has gained increasing attention in point cloud understanding, in addressing the challenges posed by 3D data scarcity and high annotation costs.
Leveraging Systematic Knowledge of 2D Transformations
The existing deep learning models suffer from out-of-distribution (o. o. d.)
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