The following pages link to VoxNet (Q52368):
Displaying 12 items.
- Learning localized features in 3D CAD models for manufacturability analysis of drilled holes (Q1644399) (← links)
- EdgeNet: deep metric learning for 3D shapes (Q2010308) (← links)
- Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models (Q2065636) (← links)
- Dense representative tooth landmark/axis detection network on 3D model (Q2127706) (← links)
- SDANet: spatial deep attention-based for point cloud classification and segmentation (Q2163190) (← links)
- 3D recognition: state of the art and trends (Q2168235) (← links)
- LRC-Net: learning discriminative features on point clouds by encoding local region contexts (Q2180642) (← links)
- Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (Q2193592) (← links)
- Representation learning on unit ball with 3D roto-translational equivariance (Q2226187) (← links)
- Self-attention implicit function networks for 3D dental data completion (Q2243182) (← links)
- On Geometric Invariants, Learning, and Recognition of Shapes and Forms (Q3300550) (← links)
- CAD Model Segmentation Via Deep Learning (Q4987311) (← links)
