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。本文主要是在特征的通道维度上分块后，每一块取空间上某一部分组合成新的feature map来解决分类需空间不变性和检测任务需空间敏感性的矛盾。 R-FCN是在faster RCNN基础上来改进的，主要是针对了fast/faster rcnn的在rpn中提取出的候选区都需要进行subnet
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相关文章
- 1. R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 2. Video Salient Object Detection via Fully Convolutional Networks
- 3. 论文笔记 R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 4. R-FCN(Object Detection via Region-based Fully Convolutional Networks) 学习笔记
- 5. 『计算机视觉』R-FCN：Object Detection via Region-based Fully Convolutional Networks
- 6. 《R-FCN: Object Detection via Region-based Fully Convolutional Networks》论文详解
- 7. R-FCN: Object Detection via Region-based Fully Convolutional Networks 论文笔记
- 8. 《R-FCN:Object Detection via Region based Fully Convolutional Networks》个人阅读笔记
- 9. 论文笔记-R-FCN：Object Detection via Region-based Fully Convolutional Networks
- 10. 论文阅读理解 - R-FCN: Object Detection via Region-based Fully Convolutional Networks