Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level feature reconstruction, forcing the model to focus on local regions while lacking enough global discriminability i...

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