【論文】Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
本文提出了一種多任務loss權重學習的方式，通過訓練協調了三個任務的loss，有語義分割、實力分割和depth regression，結構主要是： 文中主要分爲了三種情況來介紹： 迴歸任務 定義一個概率分佈函數，假設其符合高斯分佈，令 f W ( x ) f^W(x) fW(x)爲輸入爲x、權重爲W的網絡的輸出，並將 f W ( x ) f^W(x) fW(x)看作均值 μ \mu μ，則有： p
相關文章
- 1. 【Loss】Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
- 2. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
- 3. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics 多任務學習
- 4. 多任務學習「Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics」
- 5. multitask learning 相關論文資源
- 6. 論文翻譯：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
- 7. Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics 之論文詳解
- 8. 論文：Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomo
- 9. 3D Bounding Box Estimation Using Deep Learning and Geometry論文理解
- 10. 3D Bounding Box Estimation Using Deep Learning and Geometry
- 更多相關文章...
- • Scala for循環 - Scala教程
- • CAP理論是什麼？ - NoSQL教程
- • RxJava操作符（七）Conditional and Boolean
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【Loss】Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
- 2. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
- 3. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics 多任務學習
- 4. 多任務學習「Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics」
- 5. multitask learning 相關論文資源
- 6. 論文翻譯：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
- 7. Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics 之論文詳解
- 8. 論文：Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomo
- 9. 3D Bounding Box Estimation Using Deep Learning and Geometry論文理解
- 10. 3D Bounding Box Estimation Using Deep Learning and Geometry