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Found 2 papers, 1 papers with code
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
Additionally, we present LCA-VAE, a novel VAE method that creates a latent space with increased consistent points through data augmentation in latent space and penalization of latent inconsistencies.
Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation
By analyzing input images and performing the augmentation accordingly we show that the performance of the U-Net model can be increased dramatically.
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Retinal Vessel Segmentation
on DRIVE
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