R-CNN

最近在看 Mask R-CNN， 这个分割算法是基于 Faster R-CNN 的，决定看一下这个 R-CNN 系列论文，好好理一下

1. 论文 Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5)

Author: Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik, UC Berkeley

link: https://arxiv.org/pdf/1311.2524.pdf  (2014)

2. 【目标检测】R-CNN论文详解（Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation）https://www.jianshu.com/p/c1696c27abf8

 

 

Ref:

 

R-CNN学习总结 https://zhuanlan.zhihu.com/p/30316608

 

R-CNN论文详解 http://www.javashuo.com/article/p-kesahmns-nq.html (讲懂了 bounding box 回归)

R-CNN 论文 http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=AF8817DD0F70B32AA08B2ECBBA8099FA?doi=10.1.1.715.2453&rep=rep1&type=pdf

https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46

https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html

 

Review: R-CNN (Object Detection) https://medium.com/coinmonks/review-r-cnn-object-detection-b476aba290d1