ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics

ICCV 2019 Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung

Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle point order ambiguity in point cloud data. While being able to achieve good accuracies in various scene understanding tasks, previous methods often have low training speed and complex network architecture... (read more)

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