Fast R-CNN (Regional CNN)

  • Ross Girchick, Fast R-CNN, 2015
  • 단일의 CNN만을 훈련하여 R-CNN의 속도를 개선함 (약 9배)
  • 간단한 절차는 아래와 같음
    • 대상이미지의 feature map을 필터로부터 산출
    • RoI Pooling Layer – Region 후보군들을 설명하는 고정길이의 feature vector를 feature map으로부터 산출.
    • 이를 완전 연결 신경망으로 전달해 Bounding Box와 멀티클래스 분류를 하게됨 (SVM보다 FC -> softmax선호)

Fast R-CNN의 구조, RoI풀링 레이어가 추가됨

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