(45)[NIPS16] R-FCN: Object Detection via Region-based Fully Convolutional Networks
計劃完成深度學習入門的126篇論文第四十五篇，MSRA的Jian Sun和Kaiming He研究的一種新的目標檢測方法。[github] Object Detection的基礎主要是Ross Girshick和Kaiming He的研究成果。 Abstract 咱們提出了基於區域的全卷積網絡，用於精確和有效的目標檢測。與以前的基於區域的檢測器(如Fast/Faster R-CNN)相比，咱們的基
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- 2. Video Salient Object Detection via Fully Convolutional Networks
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- 8. R-FCN: Object Detection via Region-based Fully Convolutional Networks（2016）論文綜述
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相關文章
- 1. R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 2. Video Salient Object Detection via Fully Convolutional Networks
- 3. 《R-FCN: Object Detection via Region-based Fully Convolutional Networks》論文詳解
- 4. R-FCN: Object Detection via Region-based Fully Convolutional Networks 論文筆記
- 5. R-FCN(Object Detection via Region-based Fully Convolutional Networks) 學習筆記
- 6. 論文筆記 R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 7. 論文閱讀理解 - R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 8. R-FCN: Object Detection via Region-based Fully Convolutional Networks（2016）論文綜述
- 9. R-FCN論文筆記（R-FCN: Object Detection via Region-based Fully Convolutional Networks）
- 10. 【論文筆記】物體檢測系列 R-FCN: Object Detection via Region-based Fully Convolutional Networks