Output Functions
Extreme Value Machine
Introduced by Rudd et al. in The Extreme Value Machine
Source: The Extreme Value Machine
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Face Recognition | 2 | 7.14% |
| Image Classification | 2 | 7.14% |
| Incremental Learning | 2 | 7.14% |
| Classification | 2 | 7.14% |
| Micro-Expression Recognition | 2 | 7.14% |
| Optical Flow Estimation | 2 | 7.14% |
| Benchmarking | 1 | 3.57% |
| Class Incremental Learning | 1 | 3.57% |
| Computational Efficiency | 1 | 3.57% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
