The Contextual Loss for Image Transformation with Non-Aligned Data 論文學習
針對圖像變換問題訓練的前饋CNN依賴於測量生成的圖像和目標圖像之間的相似性的損失函數。大多數常見的損失函數假設這些圖像在空間上對齊並在相應位置比較像素。然而，對於許多任務，對齊的訓練對圖像將不可用。Contextual Loss 是本文提出的一種不需要對齊的，爲這類問題提供了簡單有效的方法。 論文指出，利用Contextual Loss出色的完成了，單幀圖
相關文章
- 1. 【論文閱讀】The Contextual Loss for Image Transformationwith Non-Aligned Data（ECCV2018 oral）...
- 2. Contextual loss
- 3. 圖像修復論文「Generative Image Inpainting with Contextual Attention」
- 4. 論文筆記--CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
- 5. 閱讀論文《Loss Functions for Image Restoration With Neural Networks》
- 6. [論文筆記] SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
- 7. [論文筆記]FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
- 8. Image-to-Image Translation with Conditional Adversarial Networks論文學習
- 9. Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
- 10. The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
- 更多相關文章...
- • 您已經學習了 XML Schema，下一步學習什麼呢？ - XML Schema 教程
- • 我們已經學習了 SQL，下一步學習什麼呢？ - SQL 教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Kotlin學習（一）基本語法
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. 【論文閱讀】The Contextual Loss for Image Transformationwith Non-Aligned Data（ECCV2018 oral）...
- 2. Contextual loss
- 3. 圖像修復論文「Generative Image Inpainting with Contextual Attention」
- 4. 論文筆記--CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
- 5. 閱讀論文《Loss Functions for Image Restoration With Neural Networks》
- 6. [論文筆記] SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
- 7. [論文筆記]FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
- 8. Image-to-Image Translation with Conditional Adversarial Networks論文學習
- 9. Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
- 10. The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification