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iVQA: Inverse Visual Question Answering

iVQA: Inverse Visual Question Answering

10 October 2017
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
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Papers citing "iVQA: Inverse Visual Question Answering"

4 / 4 papers shown
Title
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Wenhao Chai
Enxin Song
Y. Du
Chenlin Meng
Vashisht Madhavan
Omer Bar-Tal
Jeng-Neng Hwang
Saining Xie
Christopher D. Manning
3DV
77
25
0
04 Oct 2024
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous
  Questions in VQA
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA
Elias Stengel-Eskin
Jimena Guallar-Blasco
Yi Zhou
Benjamin Van Durme
UQLM
16
11
0
14 Nov 2022
The Dialog Must Go On: Improving Visual Dialog via Generative
  Self-Training
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
Gi-Cheon Kang
Sungdong Kim
Jin-Hwa Kim
Donghyun Kwak
Byoung-Tak Zhang
16
10
0
25 May 2022
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
144
1,464
0
06 Jun 2016
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