Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos

Author:

Yun Heeseung1,Yu Youngjae2,Yang Wonsuk3,Lee Kangil4,Kim Gunhee1

Affiliation:

1. Seoul National University

2. Allen Institute for AI

3. University of Oxford

4. Hyundai Motor Company

Funder

National Research Foundation of Korea

Publisher

IEEE

Reference67 articles.

1. ImageNet Large Scale Visual Recognition Challenge

2. 2.5D Visual Sound

3. Objects that sound;arandjelovic;ECCV,2018

4. Audio-Visual Scene Analysis with Self-Supervised Multisensory Features;owens;ECCV,2018

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