Figure 3
From: Multi-grained pooling network for age estimation in degraded low-resolution images
The overall framework of MGP-Net comprises a degradation model, the MGP-Net backbone, and a classifier. The degradation model employs a random shuffle degradation strategy to downsample high-resolution (HR) images to low-resolution (LR) images, then fed into the MGP-Net backbone to extract features. Finally, the classifier predicts the age based on these features.
