A Deep Face Identification Network Enhanced by Facial Attributes Prediction
fusion layer :兩個特徵混淆，混淆的方法是使用 克羅內克積 第一如下： 損失函數： Face Identification: we calculate the similarity betweeneach of the images in the gallery set and given image from the probe set, and then rank these i
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相關文章
- 1. Deep Identity-aware Transfer of Facial Attributes
- 2. DeepID2 "Deep Learning Face Representation by Joint Identification-Verification"
- 3. Person Re-Identification (ReID), a New Facial Recognition Record
- 4. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
- 5. 論文筆記（一）：A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction
- 6. Deep Facial Expression Recognition: A Survey
- 7. 解讀Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （6）
- 8. 解讀Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （1）
- 9. 解讀Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （2）
- 10. 論文筆記（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach