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...
Hoofdauteurs: | Burg, MF, Wenzel, F, Zietlow, D, Horn, M, Makansi, O, Locatello, F, Russell, C |
---|---|
Formaat: | Journal article |
Taal: | English |
Gepubliceerd in: |
Journal of Machine Learning Research
2023
|
Gelijkaardige items
-
Retrieval-augmented human motion generation with diffusion model
door: Guo, Xinying
Gepubliceerd in: (2023) -
Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model
door: Daniel Mederer, et al.
Gepubliceerd in: (2025-01-01) -
Paired cross-modal data augmentation for fine-grained image-to-text retrieval
door: Wang, Hao, et al.
Gepubliceerd in: (2023) -
In-Context Retrieval-Augmented Language Models
door: Ori Ram, et al.
Gepubliceerd in: (2023-11-01) -
Art, Artfulness, or Artifice?: A Review of The Art of Statistics: How to Learn From Data, by David Spiegelhalter
door: Jason Makansi
Gepubliceerd in: (2020-01-01)