EquiMod: An Equivariance Module to Improve Visual Instance Discrimination

Recent self-supervised visual representation methods are closing the gap with supervised learning performance. Most of these successful methods rely on maximizing the similarity between embeddings of related synthetic inputs created through data augmentations.