Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision

CVPR, pp. 6288-6297, 2017.

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Abstract:

In this paper, we study learning visual classifiers from unstructured text descriptions at part precision with no training images. We propose a learning framework that is able to connect text terms to its relevant parts and suppress connections to non-visual text terms without any part-text annotations. For instance, this learning process...More

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