Whitening
ZCA Whitening
ZCA Whitening is an image preprocessing method that leads to a transformation of data such that the covariance matrix $\Sigma$ is the identity matrix, leading to decorrelated features.
Image Source: Alex Krizhevsky
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 2 | 18.18% |
| Code Search | 1 | 9.09% |
| imbalanced classification | 1 | 9.09% |
| Self-Supervised Learning | 1 | 9.09% |
| Recommendation Systems | 1 | 9.09% |
| regression | 1 | 9.09% |
| Disentanglement | 1 | 9.09% |
| Robust Object Detection | 1 | 9.09% |
| Classification | 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 |
