Document Image Binarization with Fully Convolutional Neural Networks 圖片文檔二值化FCNs
FCNs架構 1.abstract 提出了FCNN，The FCN is trained to optimize a continuous version of the Pseudo F-measure metric and an ensemble of FCNs outperform the competition winners on 4 of 7 DIBCO competitions. 指出
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相關文章
- 1. Document Image Binarization with Fully Convolutional Neural Networks 圖片文檔二值化FCNs
- 2. Fast Image Processing with Fully-Convolutional Networks
- 3. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
- 4. Bag of Tricks for Image Classification with Convolutional Neural Networks
- 5. ImageNet Classification with Deep Convolutional Neural Networks
- 6. Fully Convolutional Networks
- 7. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 8. 肝臟分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
- 9. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation-論文筆記
- 10. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks