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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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tobi-Tob%2FDataAugmentationDiffusionModels

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

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