Image Splicing Localization via Semi-Global Network and Fully Connected Conditional Random Fields.
第一次分享我閱讀的論文，以前總是看別人的，我覺得積累的可以了，所以分享一下我的閱讀思路。 本篇論文是發表在ECCV workshop的論文，方向是識別圖像篡改及定位， （摘要） 簡單說就是利用從patch中學到的信息和圖像整體學習的信息進行比對。 本文主要解決圖像拼接定位問題，給定一個輸入圖片，定位到拼接區域，這個拼接區域是從另一個圖片中裁剪來的，我們把formulate這個作爲一個分類任務，但是
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相關文章
- 1. 肝臟分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
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