Playing to the Strengths of High- and Low-Resolution Cues for Ultra-High Resolution Image Segmentation

摘要

In ultra-high resolution image segmentation task for robotic platforms like UAVs and autonomous vehicles, existing paradigms process a downsampled input image through a deep network and the original high-resolution image through a shallow network, then fusing their features for final segmentation.