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ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud
To the point cloud encoders to fit the extremely sparse point clouds without re-running the pre-training procedure which could be time-consuming and expensive, in this work, we propose an unsupervised model adaptation approach to enhance the point cloud encoder for the extremely sparse point clouds.
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