A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches

<div>Comparison results between our point-octree and full voxel methods on ModelNet40 dataset. The total GPU memory was 5 GB and the batch size was 32: (a) memory consumption ratio in GB and (b) average runtime in milliseconds.</div>

Computational Intelligence and Neuroscience

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Figure 2: A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches 