Object Detection

two-stage: use region proposal network (RPN) to generate proposals

  1. faster-RCNN

one-stage: remove RPN and use anchors with associated fixed proposals based on predefined scales/aspect-ratios.

  1. YOLO v1 v2 v3
  2. SSD

Corner Points: remove anchors and directly predict corner points

  1. CornerNet

No anchor: actually use aach cell as an anchor

  1. RPDet: use object centers as positive cells; paired with deformable CNN

  2. FoveaBox: use the cells in fovea area (object bounding box) as positive cells

  3. Guided Anchoring: use deformable CNN to obtain adapted feature map