【论文阅读】Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
思想 本论文与Unet方法不同，用Mask R-CNN类的方法来实现任意形状文本的检测，其中，它借用FPN网络的对矩形框的优异的检测性能，很好的找出文本的区域的矩形框，而后，通过一个基于LSTM的refine proposal模块来细致的描绘文本区，这巧妙的通过roi-pooling layer得到的特征进行任意形状框的回归（将feature作为LSTM每个step的输入，然后回归出任意长度点的序
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相关文章
- 1. 《Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation》论文笔记
- 2. Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection论文阅读
- 3. Real-time Scene Text Detection with DB 阅读
- 4. CRAFT：Character region awareness for text detection 论文阅读
- 5. 论文阅读SLPR-Sliding Line Point Regression for Shape Robust Scene Text Detection
- 6. 论文阅读SPCNet-Scene Text Detection with Supervised Pyramid Context Network
- 7. Sliding Line Point Regression for Shape Robust Scene Text Detection 论文翻译解读
- 8. Character Region Awareness for Text Detection 论文解读
- 9. MSR: Multi-Scale Shape Regression for Scene Text Detection
- 10. [论文解读]|PAN:Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network