【論文解讀】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Perface 最近比較好奇場景文本檢測中Size較大、較長的文本行的檢測問題，於是去調查了ICDAR2017MLT數據集檢測結果，發現目前開源的最好結果是雲從科技的「Pixel-Anchor」，競賽結果達到了74.54%，小編非常好奇究竟是什麼神仙操作能達到這麼好的結果，於是找到論文原文打算一探究竟（雖然論文中MLT的結果只有68.1%，但IC2015達到了87.68%），強自有強
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- 1. Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks——譯文
- 2. 【學習總結】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
- 3. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》論文筆記
- 4. 【論文學習】Feature Pyramid Based Scene Text Detector
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- 6. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 7. 【論文學習總結】FOTS: Fast Oriented Text Spotting with a Unified Network
- 8. Oriented Response Networks 論文解讀
- 9. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》閱讀翻譯
- 10. SRN: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks ---論文閱讀筆記
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相關文章
- 1. Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks——譯文
- 2. 【學習總結】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
- 3. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》論文筆記
- 4. 【論文學習】Feature Pyramid Based Scene Text Detector
- 5. 論文筆記：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 6. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 7. 【論文學習總結】FOTS: Fast Oriented Text Spotting with a Unified Network
- 8. Oriented Response Networks 論文解讀
- 9. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》閱讀翻譯
- 10. SRN: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks ---論文閱讀筆記