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MOMA:Distill from Self-Supervised Teachers
In this work, we propose MOMA to distill from pre-trained MoCo and MAE in a self-supervised manner to collaborate the knowledge from both paradigms.
Masked Contrastive Representation Learning
This work presents Masked Contrastive Representation Learning (MACRL) for self-supervised visual pre-training.
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
The two recent methods, Balancing GAN (BAGAN) and improved BAGAN (BAGAN-GP), are proposed as an augmentation tool to handle this problem and restore the balance to the data.
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