Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
翻譯部份內容，參雜我的想法算法 不忠實於原文，可能有參考價值網絡 概要 文本檢測：優化 1.把文本做爲一種普通對象，採用普通對象檢測的方法，利用迴歸來肯定文本框的位置spa 缺點：文本方向任意、文本尺度任意翻譯 2.直接分割文本區域code 缺點：過程複雜對象 咱們：結合以上兩點——角落點+分割相關區域v8 1、介紹 近年來，文本檢測愈來愈重要源碼 文本檢測難的緣由：it 1.外部緣由：噪
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相關文章
- 1. Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation 論文理解
- 2. Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
- 3. OCR論文閱讀筆記01--multi-oriented scence text detection via corner localization and regin segmentation
- 4. Localization and Object Detection
- 5. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- 6. DL-semantic segmentation/Classification+Localization/Object Detection/Instance Segmentation
- 7. (Review cs231n) Spatial Localization and Detection（classification and localization）
- 8. 【論文閱讀】Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
- 9. 《Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation》論文筆記
- 10. [SDS]Simultaneous Detection and Segmentation