論文解讀Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
論文：Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks 在這裏論文中將其他的feature 成爲 FRF（Face Recognition Features） 論文提及的新的特徵稱爲FAF（Face Attribute Features），（即臉部屬性，如眉毛粗度，頭髮顏色，膚色等等） FRF 有很強的區分
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相關文章
- 1. 人臉識別-論文閱讀(8) : Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
- 2. Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks（特徵融合人臉識別）
- 3. DeepID3: Face Recognition with Very Deep Neural Networks
- 4. Weakly supervised object recognition with convolutional neural networks 論文解讀
- 5. [論文筆記]Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
- 6. 行爲識別論文閱讀 | Large-scale Video Classification with Convolutional Neural Networks
- 7. NAN論文解讀：Neural Aggregation Network for Video Face Recognition
- 8. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
- 9. End-to-end 3D face reconstruction with deep neural networks
- 10. 論文閱讀：Multi-view Convolutional Neural Networks for 3D Shape Recognition