Age Progression and Regression with Spatial Attention Modules（AAAI20）
Method Problem Formulation 定義young face image爲 I y \mathbf{I}_y Iy，對應的age爲 α y \bm{\alpha}_y αy，是一個one-hot向量 給定目標age α o \bm{\alpha}_o αo（要求 α o > α y \bm{\alpha}_o\gt\bm{\alpha}_y αo>αy），我們希望學習一
相關文章
- 1. The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
- 2. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 3. linear regression and logistic regression with pytorch
- 4. Paper Reading -- CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention
- 5. Learning Face Age Progression: A Pyramid Architecture of GANs
- 6. TextSpotter with Explicit Alignment and Attention
- 7. Regression with scikit-learn
- 8. Learning Continuous Face Age Progression: A Pyramid of GANs（CVPR18擴展）
- 9. Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
- 10. [AngularJS] Lazy Loading modules with ui-router and ocLazyLoad
- 更多相關文章...
- • SQLite AND/OR 運算符 - SQLite教程
- • XSL-FO table-and-caption 對象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • Java 8 Stream 教程
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. The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
- 2. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 3. linear regression and logistic regression with pytorch
- 4. Paper Reading -- CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention
- 5. Learning Face Age Progression: A Pyramid Architecture of GANs
- 6. TextSpotter with Explicit Alignment and Attention
- 7. Regression with scikit-learn
- 8. Learning Continuous Face Age Progression: A Pyramid of GANs（CVPR18擴展）
- 9. Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
- 10. [AngularJS] Lazy Loading modules with ui-router and ocLazyLoad