Abstract: Self-supervised models are shaping the future of point cloud processing by minimizing reliance on labeled data and addressing the challenges associated with point cloud annotation.
Abstract: Point cloud classification is critical for understanding three-dimensional shapes. While current methods focus on coarse-grained category recognition, real-world applications require ...
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