Paper explained: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

The secrets of why the SwAV model architecture works so well for self-supervised pre-training

Teaching a neural network to understand the world around it without human supervision has been one of the north stars of the computer vision research community for years. Recently, multiple publications have shown the potential of novel methods to make significant advancements in this area.