Semi-convolutional Mask RCNN

• MaskRCNN consists of two stages:
  1. Find candidate regions where objects could be located
  2. Segment the candidate regions into foreground and background in addition
• Semi-convolutional operators can be combined with Mask RCNN as follows
  • For each candidate $R$, the probability map is used to identify 'seed pixels' pixesl