[原创]Faster R-CNN论文翻译
Faster R-CNN论文翻译
Faster R-CNN是互怼完了的好基友一起合作出来的巅峰之作,本文翻译的比例比较小,主要因为本paper是前述paper的一个简单改进,方法清晰,想法自然。什么想法?就是把那个一直明明应该换掉却一直被几位大神挤牙膏般地拖着不换的选择性搜索算法,即区域推荐算法。在Fast R-CNN的基础上将区域推荐换成了神经网络,而且这个神经网络和Fast R-CNN的卷积网络一起复用,大大缩短了计算时间。同时mAP又上了一个台阶,我早就说过了,他们一定是在挤牙膏。
Faster R-CNN: Towards Real-Time Object
Detection with Region Proposal Networks
摘要
1. 介绍
2 相关工作
3 FASTER R-CNN
3.1 区域推荐网络
3.1.1 锚点
平移不变性锚点
多尺度锚点作为回归参照物
3.1.2 损失函数
3.1.3 训练RPNs
3.2 RPN and Fast R-CNN之间共享特征
3.3 实现细节
4 EXPERIMENTS
5 CONCLUSION
参考文献
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