Learning for New Visual Environments with Limited Labels

International Conference on Machine Learning, 2019.

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Abstract:

In computer vision applications, such as domain adaptation (DA), few shot learning (FSL) and zero-shot learning (ZSL), we encounter new objects and environments, for which insufficient examples exist to allow for training models from scratch, and methods that adapt existing models, trained on the presented training environment, to the new...More

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