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Found 2 papers, 2 papers with code
Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes
The presented results show that, our model increases the performance of current models compared to other data augmentation techniques with a small amount of computation power.
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.
Ranked #4 on
Retinal Vessel Segmentation
on DRIVE
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