论文笔记：Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

时间 2020-12-23

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论文链接：Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Introduction 目前大多数的基于attention机制的image captioning模型采用的都是encoder-decoder的框架。然而在decode的时候，decoder应该对不同的词有不同的atten

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1. 论文笔记：Areas of Attention for Image Captioning
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5. 论文笔记：Attention Correctness in Neural Image Captioning
6. 论文笔记：Contrastive Learning for Image Captioning
7. 论文笔记：X-Linear Attention Networks for Image Captioning
8. 论文笔记：Reference based LSTM for Image Captioning
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1. 论文笔记：Areas of Attention for Image Captioning
2. Exploring Visual Relationship for Image Captioning论文笔记
3. 论文笔记：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
4. 论文笔记：Image Captioning with Semantic Attention
5. 论文笔记：Attention Correctness in Neural Image Captioning
6. 论文笔记：Contrastive Learning for Image Captioning
7. 论文笔记：X-Linear Attention Networks for Image Captioning
8. 论文笔记：Reference based LSTM for Image Captioning
9. 论文笔记：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
10. 【论文笔记】Exploring Self-attention for Image Recognition

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