论文笔记 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
出发点 memory network广泛应用于language task（比如问答，情感分析，词性标注），本文首次将其引入VQA问题，在input与memory module进行改进，使之能处理图像这种模态，在数据集bAbI-10k（文本QA)与VQA1.0上验证其方法的有效性。
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相关文章
- 1. Visual Question Answering with Memory-Augmented Networks
- 2. 论文笔记 Visual Question Answering with Memory-Augmented Networks（CVPR2018)
- 3. Multimodal Encoder-Decoder Attention Networks for Visual Question Answering论文笔记
- 4. 论文-《Visual Question Answering A tutorial》笔记
- 5. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文阅读笔记
- 7. Dynamic Memory Networks & DMN+
- 8. 论文笔记：Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
- 9. 论文笔记：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 10. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》阅读理解论文阅读笔记