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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
時間 2020-12-30
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閱讀筆記
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快樂工作
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一、文章相關資料 1.論文地址:點擊打開鏈接 2.論文代碼:點擊打開鏈接 3.發表時間:2018 二、閱讀筆記 1.論文思想 文章提出一種自上而下與自下而上相結合的注意力模型方法,應用於視覺場景理解和視覺問答系統的相關問題。其中基於自下而上的關注模型(一般使用Faster R-CNN)用於提取圖像中的興趣區域,獲取對象特徵;而基於自上而下的注意力模型用於學習特徵所對應的權重(一般使
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論文筆記:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
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相關文章
1.
論文筆記: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.
《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.
(Paper Reading)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
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論文解讀:Hierarchical Question-Image Co-Attention for Visual Question Answering
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閱讀筆記(Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
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Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
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Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
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