論文解析《Deep Convolutional Neural Network Features and the Original Image》
這一篇論文詳細分析了人臉識別中CNN網絡提取到的features有一些什麼樣的性質，一般人臉識別中CNN出來後面接一個線性層用交叉熵來分類，這裏的features值得就是cnn出來的512或者128維的浮點數組。 文章首先用這個features作爲輸入，使用LDA來分類，預測頭部姿態Yaw,Pitch，和圖像媒介，得到下面的結果，可以看到，embeding features還是包含反映面部姿態和原
相關文章
- 1. 論文解析《Deep Convolutional Neural Network Features and the Original Image》
- 2. Identifying drug–target interactions based on graph convolutional network and deep neural network 論文
- 3. Deep Convolutional Neural Network Architecture
- 4. 總結Deep Convolutional Neural Network for Image Deconvolution
- 5. Stereoscopic image quality assessment by deep convolutional neural network
- 6. Convolutional Neural Network - Object Detection
- 7. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions
- 8. Relation Classification via Convolutional Deep Neural Network 論文筆記
- 9. Deep Convolutional Network Cascade for Facial Point Detection論文算法解析
- 10. A new deep convolutional neural network for fast hyperspectral image classification Review
- 更多相關文章...
- • TCP報文格式解析 - TCP/IP教程
- • XML DOM 解析器 - XML DOM 教程
- • Scala 中文亂碼解決
- • RxJava操作符（七）Conditional and Boolean
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文解析《Deep Convolutional Neural Network Features and the Original Image》
- 2. Identifying drug–target interactions based on graph convolutional network and deep neural network 論文
- 3. Deep Convolutional Neural Network Architecture
- 4. 總結Deep Convolutional Neural Network for Image Deconvolution
- 5. Stereoscopic image quality assessment by deep convolutional neural network
- 6. Convolutional Neural Network - Object Detection
- 7. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions
- 8. Relation Classification via Convolutional Deep Neural Network 論文筆記
- 9. Deep Convolutional Network Cascade for Facial Point Detection論文算法解析
- 10. A new deep convolutional neural network for fast hyperspectral image classification Review