Graph-Structured Representations for Visual Question Answering
暂无分享,去创建一个
[1] Tatsuya Harada,et al. DualNet: Domain-invariant network for visual question answering , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[2] Richard Socher,et al. Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.
[3] Michael S. Bernstein,et al. Visual7W: Grounded Question Answering in Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Dan Klein,et al. Learning to Compose Neural Networks for Question Answering , 2016, NAACL.
[5] Byoung-Tak Zhang,et al. Multimodal Residual Learning for Visual QA , 2016, NIPS.
[6] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[7] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[8] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[9] Yash Goyal,et al. Yin and Yang: Balancing and Answering Binary Visual Questions , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[11] Jiasen Lu,et al. Hierarchical Question-Image Co-Attention for Visual Question Answering , 2016, NIPS.
[12] Christopher D. Manning,et al. The Stanford Typed Dependencies Representation , 2008, CF+CDPE@COLING.
[13] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[14] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[15] Richard S. Zemel,et al. Image Question Answering: A Visual Semantic Embedding Model and a New Dataset , 2015, ArXiv.
[16] Saurabh Singh,et al. Where to Look: Focus Regions for Visual Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Samy Bengio,et al. Order Matters: Sequence to sequence for sets , 2015, ICLR.
[18] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[19] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[21] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[22] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[23] Trevor Darrell,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[24] Qi Wu,et al. Visual question answering: A survey of methods and datasets , 2016, Comput. Vis. Image Underst..
[25] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[26] Kate Saenko,et al. Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering , 2015, ECCV.
[27] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Yi Li,et al. Compositional Memory for Visual Question Answering , 2015, ArXiv.
[30] Wei Xu,et al. ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering , 2015, ArXiv.