Important progress for improving the accuracy of object detectors has been recently possible with Convolutional Neural Networks (CNNs), which leverage big visual data and deep learning for image categorization. A successful model is the R-CNN detector proposed by Girshick et al. RCNN = Region Proposal + CNN 1. selective search: 일단 물체가 있을 것 같은 공간에 2000개 정도로 box를 많이 뽑는다. Generating category indepe..
