Activation Functions
Features Explanation Method
Introduced by Fuad et al. in Features Understanding in 3D CNNs for Actions Recognition in Video
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Computational Efficiency | 6 | 8.82% |
| Graph Neural Network | 6 | 8.82% |
| Imitation Learning | 3 | 4.41% |
| Deep Learning | 3 | 4.41% |
| Decoder | 3 | 4.41% |
| Few-Shot Learning | 3 | 4.41% |
| Operator learning | 2 | 2.94% |
| Large Language Model | 2 | 2.94% |
| Management | 2 | 2.94% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
