論文-《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 》重點翻譯+擴展

時間 2020-12-25

標籤深度學習論文 VQA Image Captioning 简体版

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論文下載摘要Abstract Top-down： Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grai

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1. CVPR 2018 Oral：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. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
5. 論文-《Visual Question Answering A tutorial》重點翻譯+擴展
6. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
7. 論文-《MUREL: Multimodal Relational Reasoning for Visual Question Answering Remi》重點翻譯+擴展
8. 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
9. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
10. 論文-《Answer Them All! Toward Universal Visual Question Answering Models》重點翻譯+擴展
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1. CVPR 2018 Oral：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. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
5. 論文-《Visual Question Answering A tutorial》重點翻譯+擴展
6. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
7. 論文-《MUREL: Multimodal Relational Reasoning for Visual Question Answering Remi》重點翻譯+擴展
8. 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
9. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
10. 論文-《Answer Them All! Toward Universal Visual Question Answering Models》重點翻譯+擴展

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