[論文學習]《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 》
faster R-CNN的主要貢獻 提出了 region proposal network（RPN）,通過該網絡我們可以將提取region proposal的過程也納入到深度學習的過程之中。這樣做既增加了Accuracy，由降低了耗時。之所以說增加Accuracy是因爲，RPN是可以通過反向傳播訓練的，所以他提取的proposal也會更準確一些。 The Flowchart of the Fast
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相關文章
- 1. 【Faster RCNN】《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》
- 2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks論文筆記
- 3. 論文翻譯：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 4. 論文筆記：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 5. 【論文翻譯】Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks （faster rcnn 論文翻譯）
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- 8. 《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》論文閱讀之Faster R-CNN
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