Ultrasmall fully-convolution GVA-net for point cloud processing
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In this paper, we propose GVA-net, a fully-convolutional architecture for point cloud classification and part-segmentation. We prove that the hierarchical ...
Ultrasmall fully-convolution GVA-net for point cloud processing
dl.acm.org › abs › j.asoc.2022.109837
Jan 1, 2023 · In this paper, we propose GVA-net, a fully-convolutional architecture for point cloud classification and part-segmentation.
In this paper, we propose GVA-net, a fully-convolutional architecture for point cloud classification and part-segmentation. We prove that the hierarchical ...
In this paper, we propose GVA-net, a fully-convolutional architecture for point cloud classifi- cation and part-segmentation. We prove that the hierarchical ...
Mar 14, 2021 · Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]. 2023, Applied Soft Computing. Citation Excerpt : Results ...
Ultrasmall fully-convolution GVA-net for point cloud processing. Jakub Walczak, Patryk Najgebauer, Adam Wojciechowski, Rafał Scherer. https://doi.org/10.1016 ...
In this paper, we propose GVA-net, a fully-convolutional architecture for point cloud classification and part-segmentation. We prove that the hierarchical of ...
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Missing: Ultrasmall fully- GVA- net
Publications that cite this publication. Ultrasmall fully-convolution GVA-net for point cloud processing. Jakub Walczak, Patryk Najgebauer, Adam Wojciechowski ...
Hybrid (point-to-voxel) network architecture capable of processing arbitrarily large point clouds in a single pass; Operates on memory efficient input data ...
Missing: Ultrasmall GVA-