Deep Convolutional Network Cascade for Facial Point Detection
CVPR2013的一篇文獻,利用CNN做人臉特徵點定位. 爲了進一步加深對mxnet的理解,準備做輪子. 上圖是完整的架構圖,包括Level 1, level 2, level 3 三級網絡組成, 逐漸提高定位精度. Level 1 這一級由三個子網絡組成,其中 * F1: 輸入整個人臉區域,輸出lefteye,righteye,nose,leftmouth,rightmouth共5個特徵點座標(
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相關文章
- 1. 《Deep Convolutional Network Cascade for Facial Point Detection》復現
- 2. Deep Convolutional Network Cascade for Facial Point Detection（DCNN）
- 3. Deep Convolutional Network Cascade for Facial Point Detection閱讀筆記
- 4. Deep Convolutional Network Cascade for Facial Point Detection論文算法解析
- 5. 【翻譯】Convolutional Experts Network for Facial Landmark Detection
- 6. 《A Convolutional Neural Network Cascade for Face Detection》
- 7. 3d fully convolutional network for vehicle detection in point cloud
- 8. 初次接觸，對論文Deep Convolutional Network Cascade for Facial Point的幾點想法（更新）
- 9. 級聯人臉檢測--A Convolutional Neural Network Cascade for Face Detection
- 10. CVPR：Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Intensity Estima