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读书笔记1:Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
时间 2021-01-02
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写这个读书笔记,一方面是为了了解他人的研究,另一方面希望学习科技论文的写作方法,提升自己写paper的水平。 原文链接:https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Du_Hierarchical_Recurrent_Neural_2015_CVPR_paper.pdf 下面对文章每个部分的结构和内容进行分析
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相关文章
1.
读书笔记5:Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
2.
Self-Attention Network for Skeleton-based Human Action Recognition
3.
读书笔记:Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
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阅读笔记Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by NS(AAAI2020)
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Skeleton-Based Action Recognition with Directed Graph Neural Networks---论文笔记
8.
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
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Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
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