Figure 1.
Network architecture of the ensemble neural networks. The ensemble model consists of two submodules, responsible for the severity classification and acne localization. The backbones of the classification and localization module are ResNet50 and YOLOv5, respectively. The end of the classification module connects the localization module, so that the accuracy of acne detection can be improved through combinatorial inference.