Random Gaussian Blur is an image data augmentation technique where we randomly blur the image using a Gaussian distribution.
Image Source: Wikipedia
Paper | Code | Results | Date | Stars |
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Task | Papers | Share |
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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% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |