論文閱讀（5）：Age invariant face recognition and retrieval by coupled auto-encoder networks
論文連接html 1.Motivation A. 人臉的年齡變化是非線性的，並且平滑的轉換 解釋：隨着時間的前進，人類的面部皮膚會緩慢老化，外貌以漸進的形式發生變化，而不是忽然的轉變，所以說年齡變化是非線性、平滑的。web B. 自動編碼器從輸入數據中學習潛在表示的能力 解釋：自動編碼器分編碼器encoder和解碼器decoder,它能講數據映射到高維的特徵空間中，而且將圖像從特徵表示出來，即進行
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相關文章
- 1. 論文閱讀（5）：Age invariant face recognition and retrieval by coupled auto-encoder networks
- 2. 論文閱讀：Iccv 2013 Hidden Factor Analysis for Age Invariant Face Recognition
- 3. 論文閱讀-----DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Networks
- 4. 論文閱讀：Making Convolutional Networks Shift-Invariant Again
- 5. 論文閱讀（6）：Deep Clustering and Block Hashing Network for Face Image Retrieval
- 6. 論文閱讀理解 - DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 7. 論文閱讀：Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 8. 文獻閱讀 - Deep Face Recognition
- 9. 論文閱讀：CVPR2016 Paper list
- 10. 2020-5-31-論文閱讀 Deep based Ingredient Recognition for Cooking Recipe Retrieval