Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
這是CVPR2018 Oral的一篇關於 Image Captioning和Visual Question Answering的文章，paper鏈接https://arxiv.org/abs/1707.07998，作者的homepage http://www.panderson.me/，code已經被released出來了https://github.com/peteanderson80/bott
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- 1. 《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
- 2. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 3. (Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 4. CVPR 2018 Oral：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 5. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 6. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
- 7. 視覺場景理解論文閱讀筆記:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 8. 論文-《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 》重點翻譯+擴展
- 9. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 10. Normalized and Geometry-Aware Self-Attention Network for Image Captioning
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相關文章
- 1. 《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
- 2. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 3. (Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 4. CVPR 2018 Oral：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 5. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 6. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
- 7. 視覺場景理解論文閱讀筆記:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 8. 論文-《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 》重點翻譯+擴展
- 9. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 10. Normalized and Geometry-Aware Self-Attention Network for Image Captioning