DenseNet: Densely connected convolutional network
貢獻和總結 1. 使用dense block(3到4個左右), 每個dense裏面的每一層和其餘任意層都連接, 前面的作爲輸入, 輸出到之後所有的. 2. 1X1卷積可以用來改變每一層的輸入層數 1 introduction 設計靈感來自DCNN中信息在長距離傳輸中可能會丟失. dense block 結構是每一層都很其餘的層連接: 當前層的輸入串聯之前所有層的輸出特徵圖, 然後輸出特徵圖串聯
相關文章
- 1. DenseNet--Densely Connected Convolutional Networks
- 2. 【DenseNet】《Densely Connected Convolutional Networks》
- 3. DenseNet Densely Connected Convolutional Networks
- 4. DenseNet——Densely Connected Convolutional Networks
- 5. Densely Connected Convolutional Networks(DenseNet)
- 6. DenseNet---《Densely Connected Convolutional Networks》
- 7. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)
- 8. Ensemble of 3D densely connected convolutional network
- 9. Densely Connected Convolutional Networks
- 10. Densely Connected Convolutional Networks(2017)
- 更多相關文章...
- • ASP IsClientConnected 屬性 - ASP 教程
- • MySQL INSERT：插入數據（添加數據） - MySQL教程
- • Flink 數據傳輸及反壓詳解
- • 算法總結-廣度優先算法
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. DenseNet--Densely Connected Convolutional Networks
- 2. 【DenseNet】《Densely Connected Convolutional Networks》
- 3. DenseNet Densely Connected Convolutional Networks
- 4. DenseNet——Densely Connected Convolutional Networks
- 5. Densely Connected Convolutional Networks(DenseNet)
- 6. DenseNet---《Densely Connected Convolutional Networks》
- 7. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)
- 8. Ensemble of 3D densely connected convolutional network
- 9. Densely Connected Convolutional Networks
- 10. Densely Connected Convolutional Networks(2017)