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Stacked Latent Attention for Multimodal Reasoning [CVPR 2018]
時間 2021-01-09
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注意力機制
attention model
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原文鏈接
論文鏈接甩出來:點擊打開鏈接 堆疊潛在注意力模型:個人感覺這是一篇傳統Attention 和殘差網絡的拼接。。。 一. Standard Attention Mechanism Attention 實際上就是一個加權求和的過程。搞圖像的就突出圖像特徵而已。Attention map就是一張權值分佈圖,與feature map「點積」就是加權過程,關鍵是怎麼產生這張Attention map
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相關文章
1.
《Dual Attention Networks for Multimodal Reasoning and Matching》
2.
CVPR 2018 paper
3.
MUREL: Multimodal Relational Reasoning for Visual Question Answering筆記
4.
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5.
【論文閱讀】【CVPR2017】Dual Attention Networks for Multimodal Reasoning and Matching
6.
《Stacked Cross Attention for Image-Text Matching》
7.
論文筆記:Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
8.
【ACL2020】Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
9.
[CVPR 2018筆記] Discriminative Learning of Latent Features for Zero-Shot Recognition
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>>更多相關文章<<