VALSE2019总结(5)-一些很有insight的poster宣讲

4.9 一些很有insight的poster宣讲

  • Independently Recurrent Neural Networks (IndRNN, NIPS2018)

  • FishNet ()

  • HRNet: Deep High-Resolution Representation Learning for Human Pose Estimation (CVPR 2019, msra)

    • HRNet有点像 UNet的终极版本:多分辨率的巧妙结合(尽可能获得双高:高语义高分辨率),motivation极其简单(希望双高,不希望从低分辨率上采样到高分辨),但是效果极其好(图像分割中效果拔群)

  • 王井东(MSRA)

  • Text Guided person image synthesis (文字指导图片中人物的姿态变化)

  • PCGAN

  • Graphical GAN (NIPS 2018)

4.10 有趣的Poster

  • GLCN (CVPR2019): semi-supervised learning with graph learning-convolutional networks

  • Data Representation and Learning with graph diffusion-embedding networks (GCN的一种)

  • multi-label image recognition with GCN

  • two-stream adaptive GCN for skeleton-based action recognition

  • An attention Enhanced Graph Convoulutional LSTM Network for sketelon-based Action recognition

  • All-in-focus synthetic aperture imaging using image matting

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转载自www.cnblogs.com/LS1314/p/10885136.html
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