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 | 98 | 27.37% |
| Image Classification | 21 | 5.87% |
| Semantic Segmentation | 15 | 4.19% |
| Object Detection | 12 | 3.35% |
| Retrieval | 8 | 2.23% |
| Clustering | 8 | 2.23% |
| Classification | 8 | 2.23% |
| General Classification | 7 | 1.96% |
| Activity Recognition | 6 | 1.68% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
