Adversarial Image Data Augmentation
Adversarial Color Enhancement
Introduced by Zhao et al. in Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color FilterAdversarial Color Enhancement is an approach to generating unrestricted adversarial images by optimizing a color filter via gradient descent.
Source: Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Adversarial Attack | 1 | 33.33% |
| Adversarial Robustness | 1 | 33.33% |
| Image Enhancement | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
