Disentangled Motif-aware Graph Learning for Phrase Grounding

In this paper, we propose a novel graph learning framework for phrase grounding in the image. Developing from the sequential to the dense graph model, existing works capture coarse-grained context but fail to distinguish the diversity of context among phrases and image regions. In contrast, we pay s...

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Bibliographic Details
Published inarXiv.org
Main Authors Mu, Zongshen, Tang, Siliang, Tan, Jie, Yu, Qiang, Zhuang, Yueting
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 13.04.2021
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