Scratch book: Object detection with RCNN, Fast-RCNN and Faster-RCNN

RCNN — Regional-base Convolution Neural Networks

Region proposal method uses selective search, starts with masking a relatively large number of regions, then applying SVM to combining to a sufficiently small segments. Each of them will represent a region of interest.

Use region proposals, CNN, affine layers to locate objects. - Ref 1

Fast RCNN

Apply region proposal on feature maps and form fixed size patches using ROI pooling. — Ref 1

Faster R-CNN — Why do we call it two-stage detector?

The external region proposal is replaced by an internal deep network.— Ref 1
  1. Jonathan Hui: https://jonathan-hui.medium.com/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9

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