A diffusion model generates new starting samples and a transformer predicts the rest, producing synthetic time-series data that improved sign-language classification accuracy on a custom glove dataset.
Small data challenges of studying rare diseases,
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A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
A diffusion model generates new starting samples and a transformer predicts the rest, producing synthetic time-series data that improved sign-language classification accuracy on a custom glove dataset.