Self-Balanced R-CNN for instance segmentation

Leonardo Rossi, Akbar Karimi, Andrea Prati

Abstract: Highlights•A deep analysis of the IoU Distribution Imbalance (IDI) problem in the RPN proposals.•A brand new loop architecture for detection and segmentation heads.•Redesign of the model heads (FCC) toward a fully convolutional approach.•A better performing GRoIE model for extraction of RoIs in a two-stage architecture.•The proposal of SBR-CNN, which includes R̂3-CNN, FCC and GRoIE.