April 2018
Intermediate to advanced
334 pages
10h 18m
English
Firstly, it was Fast R-CNN (proposed by Ross Girshick of Microsoft Research in 2015) that suggested the idea of sharing the convolution outputs among different regions of the image:

In Fast R-CNN, an input image and multiple regions of interest are given as an input to a CNNs. Pooling of RoI is done to obtain a fixed-size feature map and then sent through fully connected layers (FCs) to obtain a feature vector. The R-CNN has two output vectors per regions of interest which are as follows:
Fast R-CNN ...