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SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions

SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions

20 January 2020
Ramprasaath R. Selvaraju
Purva Tendulkar
Devi Parikh
Eric Horvitz
Marco Tulio Ribeiro
Besmira Nushi
Ece Kamar
    LRM
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Papers citing "SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions"

3 / 3 papers shown
Title
A Closer Look at the Robustness of Vision-and-Language Pre-trained
  Models
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
Linjie Li
Zhe Gan
Jingjing Liu
VLM
33
42
0
15 Dec 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh
Hamid Palangi
Oleksandr Polozov
Yichen Huang
K. Koishida
NAI
LRM
39
58
0
20 Jun 2020
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
149
3,136
0
02 Dec 2016
1