Stacked Attention Networks for Image Question Answering心得體會
這幾天看了Stacked Attention Networks for Image Question Answering這篇論文，對文中所提出的模型有了大概瞭解。本文提到了「SAN」網絡，他是在attention基礎上發展而來的。這裏我先介紹一下注意力機制的使用，再針對這篇論文的stacked attention進行分析，由易到難，效果會更好。 注意力機制 注意力模型最近幾年在深度學習各個領域被
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相關文章
- 1. VQA1-2016-Stacked Attention Networks for Image Question Answering
- 2. 《Stacked Attention Networks for Image Question Answering》論文閱讀
- 3. Stacked Attention Networks for Image Question Answering閱讀筆記
- 4. Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering 心得體會
- 5. Visual Question Answering: Datasets, Algorithms, and Future Challenges心得體會
- 6. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 7. 《Multi-level Attention Networks for Visual Question Answering》閱讀筆記
- 8. Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents心得體會
- 9. Visual Question Answering with Memory-Augmented Networks
- 10. 《Stacked Cross Attention for Image-Text Matching》