Structured Consistency Loss for semi-supervised semantic segmentation

14 Jan 2020 Jongmok Kim Jooyoung Jang Hyunwoo Park

The consistency loss has played a key role in solving problems in recent studies on semi-supervised learning. Yet extant studies with the consistency loss are limited to its application to classification tasks; extant studies on semi-supervised semantic segmentation rely on pixel-wise classification, which does not reflect the structured nature of characteristics in prediction... (read more)

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