論文筆記 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
出發點 memory network廣泛應用於language task（比如問答，情感分析，詞性標註），本文首次將其引入VQA問題，在input與memory module進行改進，使之能處理圖像這種模態，在數據集bAbI-10k（文本QA)與VQA1.0上驗證其方法的有效性。
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相關文章
- 1. Visual Question Answering with Memory-Augmented Networks
- 2. 論文筆記 Visual Question Answering with Memory-Augmented Networks（CVPR2018)
- 3. Multimodal Encoder-Decoder Attention Networks for Visual Question Answering論文筆記
- 4. 論文-《Visual Question Answering A tutorial》筆記
- 5. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文筆記
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 7. Dynamic Memory Networks & DMN+
- 8. 論文筆記：Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
- 9. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 10. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》閱讀理解論文閱讀筆記