An Evaluation Standard and Loss Function Applied to the Semantic Segmentation of Large Depth of Field Pictures

Aiming at the problem that the semantic segmentation algorithm has poor segmentation results in large depth of field (DOF) images, this paper proposed the concept of depth IoU (dIoU) evaluation standard. This concept based on the effective generalized IoU-loss (GIoU-loss) and the instance-level IoU (iIoU) concept proposed by Cityscapes dataset in the field of target detection. This paper introduced the image depth information into the loss function in the semantic segmentation algorithm. By using dIoU as a evaluation standard, the detection effect of the distant object in the DOF picture will get more weight. It solves the problem of weight reduction caused by the far-reaching effect of the distant object in the traditional evaluation standard.