(41)[NIPS15] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
計劃完成深度學習入門的126篇論文第四十一篇，MSRA的Kaiming He及Ross Girshick, 和Jian Sun等完成的對前做Fast R-CNN的改進。[github] Abstract 最早進的目標檢測網絡依賴於區域建議算法來假設目標位置。SPPnet[1]和Fast R-CNN[2]等技術的進步，下降了檢測網絡的運行時間，暴露了region proposal計算的瓶頸。在這項工
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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
- 3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks論文筆記
- 4. 論文翻譯：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 5. 論文筆記：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）
- 7. Faster-RCNN（Region Proposal Networks）
- 8. [論文學習]《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 》
- 9. 【論文翻譯】Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 10. Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks閱讀筆記