BriefGPT.xyz
Nov, 2017
通过生成模型改进文本-视觉交叉检索：观察、想象和匹配
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
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Jiuxiang Gu, Jianfei Cai, Shafiq Joty, Li Niu, Gang Wang
TL;DR
本文提出一种新的跨模态检索方法，利用生成式模型学习多模态数据的全局和本地特征，从而在MSCOCO数据集上实现了最先进的跨模态检索结果。
Abstract
textual-visual cross-modal retrieval
has been a hot research topic in both computer vision and natural language processing communities. Learning appropriate representations for
multi-modal data
is crucial for the
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