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Found 2 papers, 1 papers with code
Domain Adaptation Using Pseudo Labels
In the absence of labeled target data, unsupervised domain adaptation approaches seek to align the marginal distributions of the source and target domains in order to train a classifier for the target.
PatchRot: A Self-Supervised Technique for Training Vision Transformers
Vision transformers require a huge amount of labeled data to outperform convolutional neural networks.
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