論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
這是關於VQA問題的第七篇系列文章。本篇文章將介紹論文：主要思想；模型方法；主要貢獻。有興趣可以查看原文：Hierarchical Question-Image Co-Attention for Visual Question Answering 1，主要思想： 當前基於視覺注意的些VQA方法主要關注：」where to look」或者 visual attention。本文認爲基於問題的atte
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相關文章
- 1. 論文解讀：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 2. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》閱讀理解論文閱讀筆記
- 3. 論文閱讀：FVQA: Fact-based Visual Question Answering
- 4. Learning Conditioned Graph Structures for Interpretable Visual Question Answering論文解讀
- 5. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering論文解讀
- 6. 論文閱讀 Question Answering
- 7. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
- 8. 粗讀CVPR2019 論文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
- 9. In Defense of Grid Features for Visual Question Answering論文閱讀
- 10. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記