Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents心得體會
在本文中，爲了回答有關電影的問題，提出了一個分層存儲網絡（LMN），該網絡分別通過靜態字存儲模塊和動態字幕存儲模塊來表示幀級和剪輯級電影內容。發表於AAAI2018 文章鏈接：Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents 一、文章引入 橋接視覺理解和人機交互是人工智能的一項艱鉅任
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相關文章
- 1. Visual Question Answering: Datasets, Algorithms, and Future Challenges心得體會
- 2. 論文筆記 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
- 3. Stacked Attention Networks for Image Question Answering心得體會
- 4. Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering 心得體會
- 5. Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- 6. MovieQA: Understanding Stories in Movies through Question-Answering心得體會
- 7. nips 208 visual question answering 導讀
- 8. MUREL: Multimodal Relational Reasoning for Visual Question Answering筆記
- 9. Visual Question Answering with Memory-Augmented Networks
- 10. Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge