Paper

Self-Supervised Learning of Pretext-Invariant Representations

The goal of self-supervised learning from images is to construct image representations that are semantically meaningful via pretext tasks that do not require semantic annotations for a large training set of images. Many pretext tasks lead to representations that are covariant with image transformations... (read more)

Results in Papers With Code
(↓ scroll down to see all results)