ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.00753
  4. Cited By
Structured Multimodal Attentions for TextVQA

Structured Multimodal Attentions for TextVQA

1 June 2020
Chenyu Gao
Qi Zhu
Peng Wang
Hui Li
Yuliang Liu
A. Hengel
Qi Wu
ArXivPDFHTML

Papers citing "Structured Multimodal Attentions for TextVQA"

10 / 10 papers shown
Title
Making the V in Text-VQA Matter
Making the V in Text-VQA Matter
Shamanthak Hegde
Soumya Jahagirdar
Shankar Gangisetty
CoGe
31
4
0
01 Aug 2023
Visual Question Answering: A Survey on Techniques and Common Trends in
  Recent Literature
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
Ana Claudia Akemi Matsuki de Faria
Felype de Castro Bastos
Jose Victor Nogueira Alves da Silva
Vitor Lopes Fabris
Valeska Uchôa
Décio Gonccalves de Aguiar Neto
C. F. G. Santos
30
22
0
18 May 2023
Locate Then Generate: Bridging Vision and Language with Bounding Box for
  Scene-Text VQA
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
Yongxin Zhu
Z. Liu
Yukang Liang
Xin Li
Hao Liu
Changcun Bao
Linli Xu
21
6
0
04 Apr 2023
SceneGATE: Scene-Graph based co-Attention networks for TExt visual
  question answering
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering
Feiqi Cao
Siwen Luo
F. Núñez
Zean Wen
Josiah Poon
Caren Han
GNN
23
4
0
16 Dec 2022
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question
  Answering
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering
Hao Li
Jinfa Huang
Peng Jin
Guoli Song
Qi Wu
Jie Chen
36
21
0
21 Sep 2022
LaTr: Layout-Aware Transformer for Scene-Text VQA
LaTr: Layout-Aware Transformer for Scene-Text VQA
Ali Furkan Biten
Ron Litman
Yusheng Xie
Srikar Appalaraju
R. Manmatha
ViT
26
100
0
23 Dec 2021
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
Xiaopeng Lu
Zhenhua Fan
Yansen Wang
Jean Oh
Carolyn Rose
27
27
0
20 Aug 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual
  Explanations
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Varun Nagaraj Rao
Xingjian Zhen
K. Hovsepian
Mingwei Shen
29
17
0
29 Apr 2021
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Qi Zhu
Chenyu Gao
Peng Wang
Qi Wu
27
54
0
09 Dec 2020
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in
  Natural Images
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
188
515
0
26 Jan 2016
1