論文解讀：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
這是關於VQA問題的第十一篇系列文章。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：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering 1，主要思想 作者提出一般的Spatial visual attention只是選出了最關注的視覺對象，在通道上採用的相同的權重，這不符合
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相關文章
- 1. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 2. nips 208 visual question answering 導讀
- 3. 論文閱讀：FVQA: Fact-based Visual Question Answering
- 4. 粗讀CVPR2019 論文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
- 5. Visual Question Answering with Memory-Augmented Networks
- 6. Multimodal Encoder-Decoder Attention Networks for Visual Question Answering論文筆記
- 7. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
- 8. Learning Conditioned Graph Structures for Interpretable Visual Question Answering論文解讀
- 9. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering論文解讀
- 10. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)