论文阅读（5）：Age invariant face recognition and retrieval by coupled auto-encoder networks
论文链接 1.Motivation A. 人脸的年龄变化是非线性的，而且平滑的转换 解释：随着时间的前进，人类的面部皮肤会缓慢老化，外貌以渐进的形式发生变化，而不是突然的转变，因此说年龄变化是非线性、平滑的。 B. 自动编码器从输入数据中学习潜在表示的能力 解释：自动编码器分编码器encoder和解码器decoder,它能讲数据映射到高维的特征空间中，并且将图像从特征表示出来，即进行重构，是的输出
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相关文章
- 1. 论文阅读（5）：Age invariant face recognition and retrieval by coupled auto-encoder networks
- 2. 论文阅读：Iccv 2013 Hidden Factor Analysis for Age Invariant Face Recognition
- 3. 论文阅读-----DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Networks
- 4. 论文阅读：Making Convolutional Networks Shift-Invariant Again
- 5. 论文阅读（6）：Deep Clustering and Block Hashing Network for Face Image Retrieval
- 6. 论文阅读理解 - DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 7. 论文阅读：Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 8. 文献阅读 - Deep Face Recognition
- 9. 论文阅读：CVPR2016 Paper list
- 10. 2020-5-31-论文阅读 Deep based Ingredient Recognition for Cooking Recipe Retrieval