In Defense of Grid Features for Visual Question Answering论文阅读
In Defense of Grid Features for Visual Question Answering 论文阅读 Abstract 作为“自底向上”关注，基于边界框（或区域）的视觉特征最近已经超过了普通的基于网格的卷积特征，成为视觉和语言任务（如视觉问题回答（VQA））的事实标准。然而，还不清楚地区的区域（例如更好的定位）是否是自下而上注意力成功的关键原因。在这篇文章中，我们重新审视了
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相关文章
- 1. 论文阅读：FVQA: Fact-based Visual Question Answering
- 2. 论文阅读 Question Answering
- 3. 论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 4. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
- 5. 论文解读：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 6. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 论文阅读笔记
- 7. nips 208 visual question answering 导读
- 8. 粗读CVPR2019 论文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
- 9. Learning Conditioned Graph Structures for Interpretable Visual Question Answering论文解读
- 10. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering论文解读