《Stacked Attention Networks for Image Question Answering》论文阅读
《Stacked Attention Networks for Image Question Answering》论文阅读 摘要 本文介绍了堆叠注意力网络(SANs)，它学习从图像中回答自然语言问题，San使用问题的语义表示作为查询来搜索图像中与答案相关的区域，通过多次查询一个映像，在四个图像质量保证数据集上进行的实验表明，该方法明显优于以往的先进方法。 一、介绍 图像中有几个物体:自行车、窗户、
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相关文章
- 1. VQA1-2016-Stacked Attention Networks for Image Question Answering
- 2. Stacked Attention Networks for Image Question Answering阅读笔记
- 3. Stacked Attention Networks for Image Question Answering心得体会
- 4. 论文阅读 | Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
- 5. 论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 6. 论文阅读 Question Answering
- 7. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 论文阅读笔记
- 8. 《Multi-level Attention Networks for Visual Question Answering》阅读笔记
- 9. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文阅读笔记
- 10. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》阅读理解论文阅读笔记