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Mask R-CNN architecture. Hybrid 3D-contracting (middle block) and 2D-expanding (right block) fully convolutional feature-pyramid network architecture used for the mask R-CNN backbone. The architecture incorporates both traditional 3 ×3 filters as well as bottleneck 1×1–3×3–1×1 modules (left block). The contracting arm is composed of 3D operations and convolutional kernels. The number of input channel is 3.
