Search Results for author:
Found 2 papers, 0 papers with code
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation
In this work, we empirical evaluated how different data augmentation strategies performed on CNN (e. g., ResNet) versus ViT architectures for image classification.
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation
Most previous work in this area avoids modeling key by transposing data into only one or two keys, as opposed to the 10+ different keys in the original music.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
