《Joint End-to-end Learning of Global and Local Image Priors》圖像上色論文解讀
本篇paper的思路總體理解可歸納爲：整體局部聯合+雙任務組合優化+支持任意輸入尺寸+低端網絡權值共享，使用了4個網絡結構，分別預測圖片所屬的類別 和利用L通道預測ab通道值，網絡從左到右經歷過程爲： [1]將原始L通道圖分別經過尺寸縮減到112*112、縮半處理後傳到上下權值共享的 低級特徵網絡進行特徵提取，通過6層的CNN得到低階特徵信息。 [2]在下
相關文章
- 1. Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image
- 2. 【論文筆記】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 3. [論文解讀]ASLFeat: Learning Local Features of Accurate Shape and Localization
- 4. 圖像拼接--Construction and Refinement of Panoramic Mosaics with Global and Local Alignment
- 5. 1607.CVPR-Joint Learning of Single-image and Cross-image Representations for Person ReID 論文筆記
- 6. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
- 7. 論文閱讀：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 8. 自監督學習（四）Joint Unsupervised Learning of Deep Representations and Image Clusters
- 9. [論文解讀]D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
- 10. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 更多相關文章...
- • PHP 文件上傳 - PHP教程
- • PHP 圖像處理 - PHP參考手冊
- • JDK13 GA發佈：5大特性解讀
- • Scala 中文亂碼解決
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. Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image
- 2. 【論文筆記】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 3. [論文解讀]ASLFeat: Learning Local Features of Accurate Shape and Localization
- 4. 圖像拼接--Construction and Refinement of Panoramic Mosaics with Global and Local Alignment
- 5. 1607.CVPR-Joint Learning of Single-image and Cross-image Representations for Person ReID 論文筆記
- 6. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
- 7. 論文閱讀：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 8. 自監督學習（四）Joint Unsupervised Learning of Deep Representations and Image Clusters
- 9. [論文解讀]D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
- 10. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記