English

VQD: Visual Query Detection in Natural Scenes

Computer Vision and Pattern Recognition 2019-04-15 v2

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.

Keywords

Cite

@article{arxiv.1904.02794,
  title  = {VQD: Visual Query Detection in Natural Scenes},
  author = {Manoj Acharya and Karan Jariwala and Christopher Kanan},
  journal= {arXiv preprint arXiv:1904.02794},
  year   = {2019}
}

Comments

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

R2 v1 2026-06-23T08:29:50.660Z