concept r - cnn in category deep learning

This is an excerpt from Manning's book Deep Learning for Vision Systems MEAP V08 livebook. Login to get full access to this book.

The R-CNN family of object detection techniques usually referred to as R-CNNs, which is short for Region-based Convolutional Neural Networks, developed by Ross Girshick et al. in 2014 in their paper “Rich feature hierarchies for accurate object detection and semantic segmentation”. The R-CNN family has then expanded to include Fast-RCNN and Faster-RCNN that came out in 2015 and 2016. In this section, I’ll quickly walk you through the evolution of R-CNN family from R-CNNs to Fast R-CNN to Faster R-CNN and then we will dive deeper into the Faster R-CNN architecture and code implementation.