435 citations · 454 across the 6 of their papers we have counts for
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cs.CV2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Self-supervised learning is a powerful paradigm for representation learning on unlabelled images. A wealth of effective new methods based on instance matching rely on data-augmenta…
cs.LG2021★ 435 cited
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson, Henry Gouk, Chen Change Loy +1
Self-supervised representation learning methods aim to provide powerful deep feature learning without the requirement of large annotated datasets, thus alleviating the annotation b…