Review-2019.03.31-高寅超

[yc-gao]

Prev 2 week

• 论文
  • 2014-Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
  • 2015-Fully Convolutional Networks for Semantic Segmentation(已复现)
  • 2017-Semantic Instance Segmentation via Deep Metric Learning
  • 2017-Semantic Instance Segmentation with a Discriminative Loss Function
  • 2018-Affinity Derivation and Graph Merge for Instance Segmentation
  • 2018-Learning to Cluster for Proposal-Free Instance Segmentation(完成部分复现)
  • 2018-Proposal-Free Network for Instance-Level Object Segmentation(已复现)
• 视频
  • 期刊审稿人手把手教你写一篇SCI (1)_事实汇总

Next

理论：

• Machine Learning A Probabilistic Perspective

实践：

• 使用概率图模型尝试在 proposal-free 做一些尝试。
• 李宏毅2019

[DIYer22]

感慨一下, 李宏毅的课每年都有新内容, 每年的都值得看呀!

[yc-gao]

感慨一下, 李宏毅的课每年都有新内容, 每年的都值得看呀!

是的，这周特地把李宏毅的课程重新回顾了一下，收货良多....