Target Detection - 0. Preface to Target Detection

• one-stage (single-stage target detection): such as SSD, YOLO.
  Classification and bounding box adjustment are performed directly based on anchors.

• Two-stage (two-stage target detection): For example, faster-RCNN
  generates a candidate frame (RPN) through a special module, finds the foreground and adjusts the bounding box (based on anchors);
  classifies based on the previously generated candidate frame, and further adjusts the bounding box ( Based on the proposal).
  
  The code of faster RCNN mainly draws on the GitHub of the official example
  
  up
  : https://github.com/WZMIAOMIAO/deep-learning-for-image-processing
  CSDN: https://blog.csdn.net/qq_37541097, Sunflower Little Mung Bean
  Thunderbolt Station B: https://space.bilibili.com/18161609/channel/series