Normalization
Matrix-power Normalization
Introduced by Li et al. in Is Second-order Information Helpful for Large-scale Visual Recognition?
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Adversarial Attack | 1 | 9.09% |
| Deblurring | 1 | 9.09% |
| Multiple Object Tracking | 1 | 9.09% |
| Object Tracking | 1 | 9.09% |
| General Classification | 1 | 9.09% |
| Multi-Task Learning | 1 | 9.09% |
| Person Re-Identification | 1 | 9.09% |
| Fine-Grained Image Classification | 1 | 9.09% |
| Fine-Grained Image Recognition | 1 | 9.09% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
