论文解读：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
这是关于VQA问题的第十一篇系列文章。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：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只是选出了最关注的视觉对象，在通道上采用的相同的权重，这不符合
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相关文章
- 1. 论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 2. nips 208 visual question answering 导读
- 3. 论文阅读：FVQA: Fact-based Visual Question Answering
- 4. 粗读CVPR2019 论文 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论文笔记
- 7. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 论文阅读笔记
- 8. Learning Conditioned Graph Structures for Interpretable Visual Question Answering论文解读
- 9. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering论文解读
- 10. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)