Hierarchical learning for large-scale image classification organises visual categories into multi-level taxonomies, reflecting natural relations between coarse and fine classes. By structuring labels ...
Few-shot learning (FSL) offers a solution when large-scale annotation is difficult or costly. However, extending FSL to three-dimensional (3D) point clouds remains challenging because point clouds are ...
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