FoR-Net: Learning to Focus on Hard Regions for Efficient Semantic Segmentation

Sheng-Wei Chan, Hsin-Jui Pan, Chun-Po Shen +4

We present FoR-Net, an efficient semantic segmentation framework that focuses on identifying and enhancing hard regions. Instead of relying on heavy global modeling, FoR-Net adopts…