Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment
文章發表在ICPR2018上，採用一個多任務級聯神經網絡的框架來實現實時的人臉檢測、人臉配准以及頭部姿態估計。MTCNN能夠實現實時的人臉檢測和人臉配準，儘管它在人臉配準方面的性能超越了許多其他最新的方法，但它僅僅輸出了 5 個特徵點，當需要輸出更加密集的特徵點時並不能得到很好的效果。所以，本文利用了人臉配準和頭部姿態估計之間的內在聯繫來增強密集的人臉配準性能。 1.網絡結構 四個階段的網絡設計如
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- 1. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 2. 論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 3. 論文筆記1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 5. 論文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 6. MTCNN解讀：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks論文理解
- 8. 論文解讀——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（二）
- 9. 論文解讀——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
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相關文章
- 1. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 2. 論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 3. 論文筆記1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 5. 論文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 6. MTCNN解讀：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks論文理解
- 8. 論文解讀——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（二）
- 9. 論文解讀——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
- 10. 論文筆記：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks