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Our SCHP is model-agnostic and can be applied to any human parsing models for further enhancing their performance. Benefiting the superiority of SCHP, we achieve the new state-of-the-art results on 6 benchmarks and win the 1st place for all human parsing tracks in the 3rd LIP Challenge.Establishing correct correspondences between two images should consider both local and global spatial context. Given putative correspondences of feature points in two views, in this paper, we propose Order-Aware Network, which infers the probabilities of cor
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