论文笔记：Self-critical Sequence Training for Image Captioning

时间 2020-07-25

标签论文笔记 self critical sequence training image captioning 繁體版

原文原文链接

论文连接：Self-critical Sequence Training for Image Captioningnode 引言如今image caption主要存在的问题有：web exposure bias：模型训练的时候用的是叫“Teacher-Forcing”的方式：输入RNN的上一时刻的单词是来自训练集的ground-truth单词。而在测试的时候依赖的是本身生成的单词，一旦生成得很差

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1. Self-critical Sequence Training for Image Captioning
2. 论文笔记：Self-critical Sequence Training for Image Captioning
3. 论文笔记：Areas of Attention for Image Captioning
4. 论文笔记：Reference based LSTM for Image Captioning
5. 论文笔记：Contrastive Learning for Image Captioning
6. Exploring Visual Relationship for Image Captioning论文笔记
7. 论文笔记：Image Captioning with Semantic Attention
8. 论文笔记：Attention Correctness in Neural Image Captioning
9. 论文笔记：X-Linear Attention Networks for Image Captioning
10. Reflective Decoding Network for Image Captioning论文阅读
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1. Self-critical Sequence Training for Image Captioning
2. 论文笔记：Self-critical Sequence Training for Image Captioning
3. 论文笔记：Areas of Attention for Image Captioning
4. 论文笔记：Reference based LSTM for Image Captioning
5. 论文笔记：Contrastive Learning for Image Captioning
6. Exploring Visual Relationship for Image Captioning论文笔记
7. 论文笔记：Image Captioning with Semantic Attention
8. 论文笔记：Attention Correctness in Neural Image Captioning
9. 论文笔记：X-Linear Attention Networks for Image Captioning
10. Reflective Decoding Network for Image Captioning论文阅读

>>更多相关文章<<