Image Data Augmentation
Random Gaussian Blur
Random Gaussian Blur is an image data augmentation technique where we randomly blur the image using a Gaussian distribution.
Image Source: Wikipedia
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Self-Supervised Learning | 109 | 28.02% |
| Image Classification | 23 | 5.91% |
| Semantic Segmentation | 16 | 4.11% |
| Object Detection | 11 | 2.83% |
| Classification | 9 | 2.31% |
| Retrieval | 8 | 2.06% |
| Clustering | 7 | 1.80% |
| General Classification | 7 | 1.80% |
| Activity Recognition | 6 | 1.54% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
