Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision

CVPR 2017 Mohamed ElhoseinyYizhe ZhuHan ZhangAhmed Elgammal

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... (read more)

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