Convolutional Neural Networks
Polynomial Convolution
Introduced by Yavartanoo et al. in PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationPolyConv learns continuous distributions as the convolutional filters to share the weights across different vertices of graphs or points of point clouds.
Source: PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 3D Object Classification | 1 | 16.67% |
| 3D Point Cloud Classification | 1 | 16.67% |
| 3D Shape Classification | 1 | 16.67% |
| 3D Shape Recognition | 1 | 16.67% |
| 3D Shape Representation | 1 | 16.67% |
| Retrieval | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
