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【Paper Reading】【CTPN: Detecting Text in Natural Image with Connectionist Text Proposal Network】
時間 2021-01-12
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場景文本檢測
深度學習
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abstract: 在卷積特徵圖中用一系列fine-scale text proposals來直接檢測文本行 垂直anchor機制,同時預測每一個固定寬度proposal的位置和文本/非文本分數 使用RNN,以獲取上下文信息來提高檢測正確率 multi-scale and multi-language text reliable,無需額外後處理 introduction: motivation:
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相關文章
1.
CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network)算法詳解
2.
[論文閱讀] CTPN---Detecting Text in Natural Image with Connectionist Text Proposal Network
3.
Detecting Text in Natural Image with Connectionist Text Proposal Network論文筆記
4.
【ECCV2016】Detecting Text in Natural Image with Connectionist Text Proposal Network
5.
論文閱讀學習 - CTPN-Detecting Text in Natural Image with Connectionist Text Proposal Network
6.
翻譯CTPN:Detecting Text in Natural Image with Connectionist Text Proposal Network
7.
Connectionist Text Proposal Network
8.
【Paper Reading】【TextBoxess: A Fast Text Detector with a Single Deep Neural Network】
9.
明亮如星研旅(1)——Detecting Text in Natural Scenes with Stroke Width Transform
10.
(Paper)Robust Text Detection in Natural Scene Images
>>更多相關文章<<