An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning

22 Mar 2017Fan WuZhongwen XuYi Yang

We propose an end-to-end approach to the natural language object retrieval task, which localizes an object within an image according to a natural language description, i.e., referring expression. Previous works divide this problem into two independent stages: first, compute region proposals from the image without the exploration of the language description; second, score the object proposals with regard to the referring expression and choose the top-ranked proposals... (read more)

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