LAUSR

Deep Tri-Training for Semi-Supervised Image Segmentation

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1 Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3185768

Abstract: Semantic segmentation is of great value to autonomous driving and many robotic applications, while it highly depends on costly and time-consuming pixel-level annotation. To make full use of unlabeled data, this work proposes a deep… read more here.

Keywords: tri training; semi supervised; deep tri; segmentation ... See more keywords