《FOTS：Fast Oriented Text Spotting with a Unified Network》論文筆記
代碼地址：FOTS.PyTorch 1. 概述 導讀：考慮到現有的文本檢測與識別是單獨分開的方法，文章提出了將兩者結合實現端到端訓練的網絡FOTS（Fast Oriented Text Spotting）。這兩個任務通過權值共享方式減少了重複計算特徵的時間消耗，由於文本位置存在的任意性，對此文章提出了RoIRotate方法將文本區域檢測與文本識別關聯起來（獲取對識別有效的特徵區域方便文本識別）。並
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相關文章
- 1. 【論文學習總結】FOTS: Fast Oriented Text Spotting with a Unified Network
- 2. 翻譯和筆記--FOTS: Fast Oriented Text Spotting with a Unified Network
- 3. 論文筆記：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 4. 【論文筆記】A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Emb
- 5. [論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 6. Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection 論文筆記
- 7. Detecting Text in Natural Image with Connectionist Text Proposal Network論文筆記
- 8. 【論文解讀】【論文翻譯】ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
- 9. UPSNet: A Unified Panoptic Segmentation Network 論文閱讀
- 10. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》論文筆記