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

18 November 2015

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

30 / 30 papers shown

Title
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification Souhail Bakkali Zuheng Ming Mickael Coustaty Marçal Rusiñol 8 6 0 11 May 2023
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 36 149 0 27 Apr 2022
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 32 20 0 24 Sep 2021
Understanding the computational demands underlying visual reasoning Mohit Vaishnav Rémi Cadène A. Alamia Drew Linsley Rufin VanRullen Thomas Serre GNN CoGe 32 16 0 08 Aug 2021
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 41 202 0 28 Jan 2021
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering Aisha Urooj Khan Amir Mazaheri N. Lobo M. Shah 24 56 0 27 Oct 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 24 37 0 27 May 2020
Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods Arianna Yuan Y. Li HAI 17 24 0 07 May 2020
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin Unnat Jain A. Schwing LRM ReLM 28 9 0 31 Oct 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
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 Chaitanya Kaul S. Manandhar Nick E. Pears SSeg 17 129 0 08 Feb 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 24 1,155 0 27 Jun 2018
TI-CNN: Convolutional Neural Networks for Fake News Detection Yang Yang Lei Zheng Jiawei Zhang Qingcai Cui Zhoujun Li Philip S. Yu 25 231 0 03 Jun 2018
Motion-Appearance Co-Memory Networks for Video Question Answering J. Gao Runzhou Ge Kan Chen Ram Nevatia 27 240 0 29 Mar 2018
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning David Mascharka Philip Tran Ryan Soklaski Arjun Majumdar 31 207 0 14 Mar 2018
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 35 418 0 15 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 22 872 0 12 Feb 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi OOD 51 581 0 01 Dec 2017
Locally Smoothed Neural Networks Liang Pang Yanyan Lan Jun Xu J. Guo Xueqi Cheng 33 5 0 22 Nov 2017
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge Damien Teney Peter Anderson Xiaodong He A. Hengel 45 380 0 09 Aug 2017
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 Jiasen Lu A. Kannan Jianwei Yang Devi Parikh Dhruv Batra BDL 15 136 0 05 Jun 2017
AMC: Attention guided Multi-modal Correlation Learning for Image Search Kan Chen Trung Bui Chen Fang Zhaowen Wang Ram Nevatia 32 38 0 03 Apr 2017
Aspect-augmented Adversarial Networks for Domain Adaptation Yuan Zhang Regina Barzilay Tommi Jaakkola 30 96 0 01 Jan 2017
Attentive Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Bernt Schiele Trevor Darrell Marcus Rohrbach AAML 16 79 0 14 Dec 2016
FVQA: Fact-based Visual Question Answering Peng Wang Qi Wu Chunhua Shen Anton van den Hengel A. Dick CoGe 33 453 0 17 Jun 2016
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 20 18,028 0 02 Jun 2016
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs Wenpeng Yin Hinrich Schütze Bing Xiang Bowen Zhou 31 939 0 16 Dec 2015
Attention to Scale: Scale-aware Semantic Image Segmentation Liang-Chieh Chen Yi Yang Jiang Wang Wei Xu Alan Yuille SSeg 22 1,316 0 10 Nov 2015