【論文翻譯】Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》 發表會議： CVPR 2016 Abstract： 最先進的目標檢測網絡依賴於區域建議算法來假設目標的位置。SPPnet[1]和快速R-CNN[2]等技術的進步縮短了這些檢測網絡的運行時間，暴露了區域建議計算的瓶頸。在這項工作中，我們引入
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相關文章
- 1. 論文翻譯：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 （faster rcnn 論文翻譯）
- 3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks論文翻譯
- 4. 【Faster RCNN】《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》
- 5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks論文筆記
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