論文學習：Learning to Compare Image Patches via Convolutional Neural Networks
之前留了一些系列都沒有完成，有點慚愧。不過鑑於最近又開始了神經網絡的學習，anyway，記錄下這篇文章的學習。 摘要：開發一套通用的相似函數來對比圖像集。這套函數基於CNN，用來解釋圖像顯示的wide variety of changes。 1.介紹： 1）對比圖像集的應用： low-level tasks: structure from motion; wide baseline matchin
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相關文章
- 1. Learning to Compare Image Patches via Convolutional Neural Networks
- 2. 論文學習——Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
- 3. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches 譯文
- 4. 【翻譯學習筆記】Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
- 5. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
- 6. Image Inpainting via Generative Multi-column Convolutional Neural Networks
- 7. Learning Convolutional Neural Networks for Graphs論文筆記
- 8. 論文閱讀：Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks
- 9. 論文閱讀筆記（五十六）：Image Super-Resolution Using Deep Convolutional Networks
- 10. Bag of Tricks for Image Classification with Convolutional Neural Networks