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Answer Them All! Toward Universal Visual Question Answering Models

Answer Them All! Toward Universal Visual Question Answering Models

1 March 2019
Robik Shrestha
Kushal Kafle
Christopher Kanan
ArXivPDFHTML

Papers citing "Answer Them All! Toward Universal Visual Question Answering Models"

7 / 7 papers shown
Title
Learning to Reason Iteratively and Parallelly for Complex Visual
  Reasoning Scenarios
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal
Debaditya Roy
Basura Fernando
Cheston Tan
ReLM
LRM
66
2
0
20 Nov 2024
LOIS: Looking Out of Instance Semantics for Visual Question Answering
LOIS: Looking Out of Instance Semantics for Visual Question Answering
Siyu Zhang
Ye Chen
Yaoru Sun
Fang Wang
Haibo Shi
Haoran Wang
23
4
0
26 Jul 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
16
4
0
16 Dec 2022
Attention Mechanism based Cognition-level Scene Understanding
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang
Tai Le Quy
LRM
23
0
0
17 Apr 2022
Dynamic Language Binding in Relational Visual Reasoning
Dynamic Language Binding in Relational Visual Reasoning
T. Le
Vuong Le
Svetha Venkatesh
T. Tran
NAI
13
19
0
30 Apr 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
29
293
0
06 Oct 2019
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
1