PoseNet2：Geometric loss functions for camera pose regression with deep learning 論文筆記
PoseNet2：Geometric loss functions for camera pose regression with deep learning 劍橋大學 2017.5 相機重定位，indoor, outdoor，RGB，RGBD 個人總結： 這篇論文是posenet 的損失函數改進版本，但是性能得到了非常大的提升。論文很多細節都講得非常好，非常詳細清晰的說明了爲何要選擇這種函數/表
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相關文章
- 1. Introduction to Camera Pose Estimation with Deep Learning && 2019 論文筆記
- 2. 【論文筆記】PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
- 3. ECCV 2018 DSLT:《Deep Regression Tracking with Shrinkage Loss》論文筆記
- 4. Wide & Deep Learning for Recommender Systems論文筆記
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