Activation Functions
Softplus
Softplus is an activation function $f\left(x\right) = \log\left(1+\exp\left(x\right)\right)$. It can be viewed as a smooth version of ReLU.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Object Detection | 67 | 17.18% |
| Image Classification | 25 | 6.41% |
| General Classification | 11 | 2.82% |
| Real-Time Object Detection | 10 | 2.56% |
| Semantic Segmentation | 10 | 2.56% |
| Medical Diagnosis | 10 | 2.56% |
| Classification | 9 | 2.31% |
| Image Generation | 8 | 2.05% |
| Autonomous Driving | 7 | 1.79% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
