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Found 2 papers, 2 papers with code
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
In our approach, to align the two domains, we leverage contrastive losses to learn a semantically meaningful and a domain agnostic feature space using the supervised samples from both domains.
Low-Cost Transfer Learning of Face Tasks
Do we know what the different filters of a face network represent?
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