Image retrieval outperforms diffusion models on data augmentation
Many approaches have been proposed to use diffusion models to augment training datasets for downstream tasks, such as classification. However, diffusion models are themselves trained on large datasets, often with noisy annotations, and it remains an open question to which extent these models contrib...
| Автори: | , , , , , , |
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| Формат: | Journal article |
| Мова: | English |
| Опубліковано: |
Journal of Machine Learning Research
2023
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