论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
这是关于VQA问题的第七篇系列文章。本篇文章将介绍论文：主要思想；模型方法；主要贡献。有兴趣可以查看原文：Hierarchical Question-Image Co-Attention for Visual Question Answering 1，主要思想： 当前基于视觉注意的些VQA方法主要关注：”where to look”或者 visual attention。本文认为基于问题的atte
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相关文章
- 1. 论文解读：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 2. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》阅读理解论文阅读笔记
- 3. 论文阅读：FVQA: Fact-based Visual Question Answering
- 4. Learning Conditioned Graph Structures for Interpretable Visual Question Answering论文解读
- 5. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering论文解读
- 6. 论文阅读 Question Answering
- 7. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
- 8. 粗读CVPR2019 论文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
- 9. In Defense of Grid Features for Visual Question Answering论文阅读
- 10. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 论文阅读笔记