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 | 55 | 26.96% |
Image Classification | 15 | 7.35% |
Object Detection | 8 | 3.92% |
Semantic Segmentation | 8 | 3.92% |
General Classification | 7 | 3.43% |
Self-Supervised Image Classification | 6 | 2.94% |
Image Retrieval | 4 | 1.96% |
Unsupervised Pre-training | 4 | 1.96% |
Semi-Supervised Image Classification | 4 | 1.96% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |