Representation learning via consistent assignment of views to clusters
We introduce Consistent Assignment for Representation Learning (CARL), an unsupervised
learning method to learn visual representations by combining ideas from self-supervised …
learning method to learn visual representations by combining ideas from self-supervised …
Representation Learning via Consistent Assignment of Views to Clusters
T Silva, AR Rivera - arXiv preprint arXiv:2112.15421, 2021 - arxiv.org
We introduce Consistent Assignment for Representation Learning (CARL), an unsupervised
learning method to learn visual representations by combining ideas from self-supervised …
learning method to learn visual representations by combining ideas from self-supervised …
Representation Learning via Consistent Assignment of Views to Clusters
T Silva, A Ramírez Rivera - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract We introduce Consistent Assignment for Representation Learning (CARL), an
unsupervised learning method to learn visual representations by combining ideas from self …
unsupervised learning method to learn visual representations by combining ideas from self …