2024
Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
ICLR 2024poster
Multi-scale learning is central to semantic segmentation. We visualize the effective receptive field (ERF) of canonical multi-scale representations and point out two risks learning them: \textit{scale inadequacy} and \textit{field inactivation}. A novel multi-scale learner, \textbf{varying window at…