《Multi-level Attention Networks for Visual Question Answering》阅读笔记
《Multi-level Attention Networks for Visual Question Answering》阅读笔记 一、研究背景 effective semantic embedding and fine-grained visual understanding； 人类语言问题以明确的查询意图传达强大的高级语义，而具有数万个像素的真实世界图像则相对低级且抽象，由于众所周知的语义差
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相关文章
- 1. Multi-level Attention Networks for Visual Question Answering阅读笔记
- 2. Stacked Attention Networks for Image Question Answering阅读笔记
- 3. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 论文阅读笔记
- 4. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
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- 7. Cycle-Consistency for Robust Visual Question Answering阅读笔记
- 8. A Context-aware Attention Network for Interactive Question Answering--阅读笔记
- 9. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
- 10. Visual Question Answering with Memory-Augmented Networks