Fig. 1
From: A lightweight deep-learning model for parasite egg detection in microscopy images
Overview of YAC-Net’s model structure. The model is mainly composed of the backbone, neck, and head. The backbone is mainly used to extract features from the input image. The neck further processes the feature information extracted by the backbone and, finally, provides it to the head to achieve specific object detection