Towards Realistic Semi-Supervised Learning. (arXiv:2207.02269v1 [cs.CV])

Deep learning is pushing the state-of-the-art in many computer vision
applications. However, it relies on large annotated data repositories, and
capturing the unconstrained nature of the real-world data is yet to be solved.
Semi-supervised learning (SSL) complements the annotated training data with a
large corpus of unlabeled data to reduce annotation cost. The standard SSL
approach assumes unlabeled data are from the same distribution as annotated
data. Recently, ORCA [9] introduce a more realistic SSL problem, called
open-world SSL, by …

arxiv cv learning semi-supervised semi-supervised learning supervised learning