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With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Naturally, when correlating an image with textual description, people focus on not only the alignment between discriminative image regions and key words, but also the relations lying in the visual and textual context. Relation understanding is essential for cross-media correlation learning, which is ignored by priordoi:10.24963/ijcai.2018/124 dblp:conf/ijcai/QiPY18 fatcat:anifftwhbrec7oackglkbn2qra