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文本檢測算法:PSENet:Shape Robust Text Detection with Progressive Scale Expansion Network
時間 2020-07-03
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文本
檢測
算法
psenet
shape
robust
text
detection
progressive
scale
expansion
network
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HTML
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原文
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PSENet:Shape Robust Text Detection with Progressive Scale Expansion Network算法 1、現狀:文本檢測的主流方法:基於迴歸(regression-based)、基於分割(segmentation-based)。網絡 基於迴歸(regression-based)的方法一般基於通用對象檢測框架,例如Faster R-CNN [
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相關文章
1.
文本檢測算法:PSENet:Shape Robust Text Detection with Progressive Scale Expansion Network
2.
【論文翻譯】PSENet:Shape Robust Text Detection with Progressive Scale Expansion Network
3.
PSENet解讀——Shape Robust Text Detection with Progressive Scale Expansion Network
4.
【論文學習總結】Shape Robust Text Detection with Progressive Scale Expansion Network
5.
PSENet(Shape Robust Text Detection with Progressive Scale Expansion Network)論文詳解
6.
文本檢測Progressive Scale Expansion Network 筆記
7.
CVPR2018_Real-Time Rotation-Invariant Face Detection with Progressive Calibration Network
8.
【Paper Reading】Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
9.
文本檢測 DB:Real-time Scene Text Detection with Differentiable Binarization
10.
Scale-Transferrable Detection Network(STDN)算法筆記
>>更多相關文章<<