An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection 论文翻译解读
基于Faster R-CNN的文本检测方法的无锚区域候选网络 摘要 由于IoU和真实文本框之间的匹配标准，基于Faster R-CNN和SSD的锚机制被认为在场景文本检测中不够有效。为了更好地覆盖各种情形的场景文本实例，需要手动设计各种比例尺，纵横比和定向的锚，这使得基于锚的方法复杂且效率低下。在本文中，我
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相关文章
- 1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks （faster rcnn 论文翻译）
- 2. 论文解读：Faster R-CNN《Toward Real-Time Object Detection with Region Proposal Network》
- 3. faster rcnn翻译
- 4. 论文阅读——Faster RCNN，Region Proposal Network为什么好用
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- 6. Faster-RCNN（Region Proposal Networks）
- 7. [论文阅读]Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks
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- 10. 【Faster RCNN】《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》