【論文閱讀】Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
思想 本論文與Unet方法不同，用Mask R-CNN類的方法來實現任意形狀文本的檢測，其中，它借用FPN網絡的對矩形框的優異的檢測性能，很好的找出文本的區域的矩形框，而後，通過一個基於LSTM的refine proposal模塊來細緻的描繪文本區，這巧妙的通過roi-pooling layer得到的特徵進行任意形狀框的迴歸（將feature作爲LSTM每個step的輸入，然後迴歸出任意長度點的序
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相關文章
- 1. 《Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation》論文筆記
- 2. Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection論文閱讀
- 3. Real-time Scene Text Detection with DB 閱讀
- 4. CRAFT：Character region awareness for text detection 論文閱讀
- 5. 論文閱讀SLPR-Sliding Line Point Regression for Shape Robust Scene Text Detection
- 6. 論文閱讀SPCNet-Scene Text Detection with Supervised Pyramid Context Network
- 7. Sliding Line Point Regression for Shape Robust Scene Text Detection 論文翻譯解讀
- 8. Character Region Awareness for Text Detection 論文解讀
- 9. MSR: Multi-Scale Shape Regression for Scene Text Detection
- 10. [論文解讀]|PAN:Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network