VQD: Visual Query Detection in Natural Scenes

Abstract

We propose Visual Query Detection (VQD), a new visual grounding task. In VQD, a system is guided by natural language to localize a variable number of objects in an image. VQD is related to visual referring expression recognition, where the task is to localize only one object. We describe the first dataset for VQD and we propose baseline algorithms that demonstrate the difficulty of the task compared to referring expression recognition.

To appear in NAACL 2019 ( To download the dataset please go to http://www.manojacharya.com/ )

References in corpus (1)

• Answer Them All! Toward Universal Visual Question Answering Models

Cited by in corpus (2)

• Answer Them All! Toward Universal Visual Question Answering Models
• Challenges and Prospects in Vision and Language Research