R-FCN:Object Detection via Region-based Fully convolutional Networks && light-head RCNN
一、R-FCN 1、概述 本文作者Jifeng Dai，Yi Li，Kaiming He，Jian Sun。本文主要是在特徵的通道維度上分塊後，每一塊取空間上某一部分組合成新的feature map來解決分類需空間不變性和檢測任務需空間敏感性的矛盾。 R-FCN是在faster RCNN基礎上來改進的，主要是針對了fast/faster rcnn的在rpn中提取出的候選區都需要進行subnet
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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. 論文筆記 R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 4. R-FCN(Object Detection via Region-based Fully Convolutional Networks) 學習筆記
- 5. 『計算機視覺』R-FCN：Object Detection via Region-based Fully Convolutional Networks
- 6. 《R-FCN: Object Detection via Region-based Fully Convolutional Networks》論文詳解
- 7. R-FCN: Object Detection via Region-based Fully Convolutional Networks 論文筆記
- 8. 《R-FCN:Object Detection via Region based Fully Convolutional Networks》個人閱讀筆記
- 9. 論文筆記-R-FCN：Object Detection via Region-based Fully Convolutional Networks
- 10. 論文閱讀理解 - R-FCN: Object Detection via Region-based Fully Convolutional Networks