Reinforcement Deep Learning for object detection After reading the state of the Art of object detection using the CNN's(R-CNN,Faster R-CNN,YOLO,YOLOv2,SSD) I was wondering if there is an efficient method that use deep learning with reinforcement learning for object detection ?
To my extent of my knowledge, RL is used as a model for attention mechanism in object detection field (particularly the REINFORCE algorithm which is a 'flavor' of policy gradient methods). You can take a look at one of the papers that first proposed the method: RAM