Preprint
URL: http://arxiv.org/abs/2605.15368
Dataset description:
A paper that describes how to speed-up deep learning on 3D point clouds with (G-)CNNs by compressing its linear representation layers by a local partial symmetry analysis.
Source: Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space (Paper)
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Additional Information
| Field | Value |
|---|---|
| Data last updated | May 25, 2026 |
| Metadata last updated | May 25, 2026 |
| Created | May 25, 2026 |
| Format | link |
| License | License Not Specified |
| Datastore active | False |
| Datastore contains all records of source file | False |
| Has views | False |
| Id | 89d03be5-3dc5-4000-a72e-c2038a5da54d |
| Package id | 555c4a64-38e8-4f5c-9c17-b2854cd28767 |
| Position | 0 |
| State | active |