BEACon : a boundary embedded attentional convolution network for point cloud instance segmentation
Motivated by how humans perceive geometry and color to recognize objects, we propose a Boundary Embedded Attentional Convolution (BEACon) network for point cloud instance segmentation. At the core of BEACon, we introduce the attentional weight in the convolution layer to adjust the neighboring featu...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/148247 |