25 citations · 29 across the 3 of their papers we have counts for
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What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye, Hongyuan Zhu, Yongbin Liao +3
Due to the emergence of powerful computing resources and large-scale annotated datasets, deep learning has seen wide applications in our daily life. However, most current methods r…
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye, Hongyuan Zhu, Bo Zhang +1
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization f…
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Yongbin Liao, Hongyuan Zhu, Yanggang Zhang +3
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming d…