CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

CVPR 2020 Ho Kei ChengJihoon ChungYu-Wing TaiChi-Keung Tang

State-of-the-art semantic segmentation methods were almost exclusively trained on images within a fixed resolution range. These segmentations are inaccurate for very high-resolution images since using bicubic upsampling of low-resolution segmentation does not adequately capture high-resolution details along object boundaries... (read more)

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