DeepID3: Face Recognition with Very Deep Neural Networks
VGGnet和GoogLeNet這種很深的卷積神經網絡在圖像分類上取得成功，作者就嘗試將深度卷積神經網絡應用於人臉識別。 實驗方法跟DeepID2+相同，最終的準確率與DeepID2+差不多，並沒有得出深度卷積神經網絡比DeepID2+的淺卷積神經網絡更好的結論。還需要後續進一步論證。 識別錯誤分析： 以上三個是整個deepid系列識別爲不同人的同一個人，第一個是年齡差距太大沒識別出。第二個是本身
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相關文章
- 1. End-to-end 3D face reconstruction with deep neural networks
- 2. (7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
- 3. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 4. Channel Pruning for Accelerating Very Deep Neural Networks
- 5. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 6. 【論文整理】DNN-Face-Recognition-Papers DeepID Series
- 7. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 8. VGG——Very deep convolutional networks for large-scale image recognition
- 9. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 10. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION