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I'm working on creating a model that locates the object in the scene (2D image or 3D scene) using a natural language query. I came across this paper on natural language object retrieval, which mentions that this task is different from text-based image retrieval, in the sense that natural language object retrieval requires an understanding of objects in the image, spatial configurations, etc. I am not able to see the difference between these two approaches. Could you please explain it with an example?

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