Revisiting Image-Language Networks for Open-ended Phrase Detection
IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2019.
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Abstract:
Most existing work that grounds natural language phrases in images starts with the assumption that the phrase in question is relevant to the image. In this paper we address a more realistic version of the natural language grounding task where we must both identify whether the phrase is relevant to an image \textbf{and} localize the phrase...More
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