Preprint2021
Self-supervised learning across domains
Unknown
This paper explores self-supervised learning methods to obtain general-purpose feature embeddings by capturing visual invariances across domains.
0Jan 1, 2021
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Unknown
This paper explores self-supervised learning methods to obtain general-purpose feature embeddings by capturing visual invariances across domains.
Unknown
The paper proposes a self-supervised learning method that learns pretext-invariant representations by explicitly enforcing invariance to pretext transformations, improving downstream task performance.