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GitHub / Tobi-Tob / DataAugmentationDiffusionModels
The goal of this project is to improve data augmentation by incorporating a diffusion model, with a special focus on enriching semantic diversity. The Few-Shot Classification Performance is used as a metric for evaluating the implemented improvements.
Stars: 4
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 455 MB
Dependencies:
0
Created: 7 months ago
Updated: 5 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: computer-vision, data-augmentation, deep-learning, diffusion-models, few-shot-classifcation, few-shot-learning, generative-model, image-augmentation, image-classification, stable-diffusion, textual-inversion
Files
No dependencies found