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ABC-CNN: An Attention Based Convolutional Neural Network for Visual
  Question Answering

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering

18 November 2015
Kan Chen
Jiang Wang
Liang-Chieh Chen
Haoyuan Gao
Wenyuan Xu
Ram Nevatia
ArXivPDFHTML

Papers citing "ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering"

43 / 43 papers shown
Title
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document
  Image Classification
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification
Souhail Bakkali
Zuheng Ming
Mickael Coustaty
Marçal Rusiñol
10
6
0
11 May 2023
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
3DV
44
149
0
27 Apr 2022
How to find a good image-text embedding for remote sensing visual
  question answering?
How to find a good image-text embedding for remote sensing visual question answering?
Christel Chappuis
Sylvain Lobry
B. Kellenberger
Bertrand Le Saux
D. Tuia
40
20
0
24 Sep 2021
Understanding the computational demands underlying visual reasoning
Understanding the computational demands underlying visual reasoning
Mohit Vaishnav
Rémi Cadène
A. Alamia
Drew Linsley
Rufin VanRullen
Thomas Serre
GNN
CoGe
40
16
0
08 Aug 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
46
202
0
28 Jan 2021
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual
  Question Answering
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
Aisha Urooj Khan
Amir Mazaheri
N. Lobo
M. Shah
32
56
0
27 Oct 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal
  Transport
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Kyle Swanson
L. Yu
Tao Lei
OT
29
37
0
27 May 2020
Modeling Human Visual Search Performance on Realistic Webpages Using
  Analytical and Deep Learning Methods
Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods
Arianna Yuan
Yong Li
HAI
25
24
0
07 May 2020
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning
  Baselines
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
Jingxiang Lin
Unnat Jain
A. Schwing
LRM
ReLM
34
9
0
31 Oct 2019
A Better Way to Attend: Attention with Trees for Video Question
  Answering
A Better Way to Attend: Attention with Trees for Video Question Answering
Hongyang Xue
Wenqing Chu
Zhou Zhao
Deng Cai
25
33
0
05 Sep 2019
Multimodal Unified Attention Networks for Vision-and-Language
  Interactions
Multimodal Unified Attention Networks for Vision-and-Language Interactions
Zhou Yu
Yuhao Cui
Jun Yu
Dacheng Tao
Q. Tian
27
38
0
12 Aug 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
20
187
0
24 Jul 2019
Compact Global Descriptor for Neural Networks
Xiangyu He
Ke Cheng
Qiang Chen
Qinghao Hu
Peisong Wang
Jian Cheng
31
8
0
23 Jul 2019
Deep Modular Co-Attention Networks for Visual Question Answering
Deep Modular Co-Attention Networks for Visual Question Answering
Zhou Yu
Jun Yu
Yuhao Cui
Dacheng Tao
Q. Tian
36
796
0
25 Jun 2019
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
Jingcai Guo
Shiheng Ma
Song Guo
SupR
11
5
0
12 Apr 2019
FocusNet: An attention-based Fully Convolutional Network for Medical
  Image Segmentation
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
Chaitanya Kaul
S. Manandhar
Nick E. Pears
SSeg
27
129
0
08 Feb 2019
Zero-Shot Transfer VQA Dataset
Zero-Shot Transfer VQA Dataset
Yuanpeng Li
Yi Yang
Jianyu Wang
Wei-ping Xu
13
8
0
02 Nov 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
59
1,157
0
27 Jun 2018
TI-CNN: Convolutional Neural Networks for Fake News Detection
TI-CNN: Convolutional Neural Networks for Fake News Detection
Yang Yang
Lei Zheng
Jiawei Zhang
Qingcai Cui
Zhoujun Li
Philip S. Yu
27
232
0
03 Jun 2018
Motion-Appearance Co-Memory Networks for Video Question Answering
Motion-Appearance Co-Memory Networks for Video Question Answering
J. Gao
Runzhou Ge
Kan Chen
Ram Nevatia
41
240
0
29 Mar 2018
Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
36
207
0
14 Mar 2018
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
37
419
0
15 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
38
877
0
12 Feb 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual
  Question Answering
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal
Dhruv Batra
Devi Parikh
Aniruddha Kembhavi
OOD
58
582
0
01 Dec 2017
Locally Smoothed Neural Networks
Locally Smoothed Neural Networks
Liang Pang
Yanyan Lan
Jun Xu
J. Guo
Xueqi Cheng
41
5
0
22 Nov 2017
Tips and Tricks for Visual Question Answering: Learnings from the 2017
  Challenge
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
Damien Teney
Peter Anderson
Xiaodong He
Anton Van Den Hengel
50
380
0
09 Aug 2017
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for
  Visual Question Answering
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Zhou Yu
Jun-chen Yu
Jianping Fan
Dacheng Tao
41
663
0
04 Aug 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning
  to a Generative Visual Dialog Model
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
38
136
0
05 Jun 2017
AMC: Attention guided Multi-modal Correlation Learning for Image Search
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Kan Chen
Trung Bui
Chen Fang
Zhaowen Wang
Ram Nevatia
35
38
0
03 Apr 2017
VQABQ: Visual Question Answering by Basic Questions
VQABQ: Visual Question Answering by Basic Questions
Jia-Hong Huang
Modar Alfadly
Guohao Li
27
24
0
19 Mar 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
21
1,675
0
27 Feb 2017
Aspect-augmented Adversarial Networks for Domain Adaptation
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
Regina Barzilay
Tommi Jaakkola
38
96
0
01 Jan 2017
Attentive Explanations: Justifying Decisions and Pointing to the
  Evidence
Attentive Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
AAML
24
79
0
14 Dec 2016
MarioQA: Answering Questions by Watching Gameplay Videos
MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun
Paul Hongsuck Seo
Ilchae Jung
Bohyung Han
50
108
0
06 Dec 2016
Analyzing the Behavior of Visual Question Answering Models
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal
Dhruv Batra
Devi Parikh
29
309
0
23 Jun 2016
FVQA: Fact-based Visual Question Answering
FVQA: Fact-based Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton van den Hengel
A. Dick
CoGe
39
454
0
17 Jun 2016
Rationalizing Neural Predictions
Rationalizing Neural Predictions
Tao Lei
Regina Barzilay
Tommi Jaakkola
45
805
0
13 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
77
18,038
0
02 Jun 2016
A Focused Dynamic Attention Model for Visual Question Answering
A Focused Dynamic Attention Model for Visual Question Answering
Ilija Ilievski
Shuicheng Yan
Jiashi Feng
28
122
0
06 Apr 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
27
360
0
09 Mar 2016
Implicit Distortion and Fertility Models for Attention-based
  Encoder-Decoder NMT Model
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Shi Feng
Shujie Liu
Mu Li
M. Zhou
32
44
0
13 Jan 2016
ABCNN: Attention-Based Convolutional Neural Network for Modeling
  Sentence Pairs
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
Hinrich Schütze
Bing Xiang
Bowen Zhou
39
939
0
16 Dec 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,316
0
10 Nov 2015
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