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SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
[article]
2023
arXiv
pre-print
Domain adaptive semantic segmentation attempts to make satisfactory dense predictions on an unlabeled target domain by utilizing the supervised model trained on a labeled source domain. In this work, we propose Semantic-Guided Pixel Contrast (SePiCo), a novel one-stage adaptation framework that highlights the semantic concepts of individual pixels to promote learning of class-discriminative and class-balanced pixel representations across domains, eventually boosting the performance of
arXiv:2204.08808v2
fatcat:65sjkwusuvd53c3hlthlpzlc4i