Point Transformer can effectively capture both local information and long-range global context in point cloud data. However, its reliance on dividing local areas into separate tokens can result in a ...
In this paper, we introduce a novel method for generating dual-target adversarial examples in point cloud data, specifically designed to cause different models to misclassify into distinct ...
The task of point cloud classification suffers from the problem of insufficient data, and data augmentation is an effective method to alleviate this problem. However, the effect of conventional ...
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