Amodal instance segmentation refers to sensing the entire instance in an image, thereby segmenting the visible parts of an object and the regions that may be masked. However, existing amodal instance segmentation methods predict rough mask edges and perform poorly in segmenting objects with significant size differences. In addition, the occlusion environment greatly limits the performance of the model. To address the above problems, this work proposes an amodal instance segmentation method called MFC-Net to accurately segment objects in an imag...
