Fast RCNN 1. Region proposals : Extract RoI(2,000, 500 x 700) apply with Selective Search to the image 2. CNN(VGG16) : Input the image(224x224x3) to ConvNet without crop & warp, get the Feature map(14x14x512). 3. Scale-down all the RoI(2,000) to 1/100(Sub-Sampling Ratio). 4. RoI Projection : While Region proposals have not gone throuth the Sub-Sampling process, Feature map went through the Sub-S..
