Object discovery and representation networks. (arXiv:2203.08777v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2203.08777

The promise of self-supervised learning (SSL) is to leverage large amounts of
unlabeled data to solve complex tasks. While there has been excellent progress
with simple, image-level learning, recent methods have shown the advantage of
including knowledge of image structure. However, by introducing hand-crafted
image segmentations to define regions of interest, or specialized augmentation
strategies, these methods sacrifice the simplicity and generality that makes
SSL so powerful. Instead, we propose a self-supervised learning paradigm that
discovers this image structure by …

arxiv cv discovery networks representation