9 citations · 12 across the 7 of their papers we have counts for
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cs.CV2020
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
Min Zhang, Yifan Wang, Pranav Kadam +2
The PointHop method was recently proposed by Zhang et al. for 3D point cloud classification with unsupervised feature extraction. It has an extremely low training complexity while…
cs.CV2018
Interpretable Convolutional Neural Networks via Feedforward Design
C. -C. Jay Kuo, Min Zhang, Siyang Li +2
The model parameters of convolutional neural networks (CNNs) are determined by backpropagation (BP). In this work, we propose an interpretable feedforward (FF) design without any B…