In this paper, we propose the multi-attention feature fusion HRNet, MAFF-HRNet, which can retain more detailed features to achieve accurate semantic segmentation. The design of a pyramidal feature attention (PFA) hierarchy enhances the multilevel semantic representation of the model. In addition, ...
Figure 1. Structure of the MAFF-HRNet model. Our model uses a parallel construction instead of a serial construction to generate four feature maps of different resolutions. We incorporate a PFA hierarchy (details in Section 2.2) into the original HRNet by adding the attention downsampling (AD) ...