VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
Abstract: 我們的工作是研究更加深的卷及網絡對於大規模機器學習的影響. 我們的主要貢獻是使用3X3的非常小的卷積層來增加網絡的深度改善其性能, 最終的深度在16~19層. 這些發現是基於14年的比賽上的提交, 隊伍在目標定位和圖像分類方面分別獲得了第一和第二.我們同時展示了我們的網絡對於別的數據集也有同樣的適用性, 他們獲得了世界頂尖的水平. 我們已將我們的兩種性能最好的ConvNet
相關文章
- 1. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 2. VGG——Very deep convolutional networks for large-scale image recognition
- 3. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 4. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 5. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 6. VGG——Very Deep Convolution Network for Large-Scale Image Recognition
- 7. [VGG論文詳解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 8. 論文閱讀：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 9. VGG論文《Very Deep Convolutional Networks For Large Scale Image Recognition》總結
- 10. VGG-《Very deep convolutional networks for large-scale image recognition》翻譯
- 更多相關文章...
- • RSS
元素 - RSS 教程 - • ASP.NET Image 控件 - ASP.NET 教程
- • Docker 清理命令
- • 委託模式
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. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 2. VGG——Very deep convolutional networks for large-scale image recognition
- 3. Very Deep Convolutional Networks for Large-Scale Image Recognition
- 4. Very Deep Convolutional NetWorks for Large-Scale Image Recognition
- 5. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 6. VGG——Very Deep Convolution Network for Large-Scale Image Recognition
- 7. [VGG論文詳解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition
- 8. 論文閱讀：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION（VGG）
- 9. VGG論文《Very Deep Convolutional Networks For Large Scale Image Recognition》總結
- 10. VGG-《Very deep convolutional networks for large-scale image recognition》翻譯