論文閱讀《Edge Detection Using Convolutional Neural Network》
Abstract： 提出了一個基於CNN的邊緣檢測算法，可以直接得到圖像塊是否爲邊緣的預測。 Introduction： 1.傳統的方法：基於梯度，假設不同的物體之間存在較大的梯度，相同物體內的梯度較小，但是現實情況下很多時候這個假設不成立，因此考慮用學習的方法。 2.之前的學習方法：學習能力不夠，無法直接根據原始圖像塊進行邊緣檢測，需要進行許多顏色和梯度的特徵提取來表徵原圖像，很複雜而且效果不夠
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相關文章
- 1. Richer Convolutional Features for Edge Detection 論文閱讀
- 2. 論文 | Credit Card Fraud Detection Using Convolutional Neural Networks
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