Attention
Weight excitation
Introduced by Quader et al. in Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksA novel built-in attention mechanism, that is complementary to all other prior attention mechanisms (e.g. squeeze and excitation, transformers) that are external (i.e., not built-in - please read paper for more details)
Source: Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Computed Tomography (CT) | 1 | 6.67% |
| Lung Nodule Detection | 1 | 6.67% |
| Lung Nodule Segmentation | 1 | 6.67% |
| 3D Action Recognition | 1 | 6.67% |
| 3D Classification | 1 | 6.67% |
| 3D Object Classification | 1 | 6.67% |
| 3D Semantic Segmentation | 1 | 6.67% |
| Action Detection | 1 | 6.67% |
| Action Recognition | 1 | 6.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
