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pro vyhledávání: '"Jingjing Li"'
Publikováno v:
CVPR
Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge learned from a well-labeled source domain to an unlabeled target domain. Recently, adversarial domain adaptation with two distinct classifiers (bi-classifier) has been introduced i
Autor:
Qi Bi, Yefeng Zheng, Junde Wu, Cheng Bian, Hanruo Liu, Li Cheng, Wei Ji, Shuang Yu, Jingjing Li, Kai Ma
Publikováno v:
CVPR
In medical image analysis, it is typical to collect multiple annotations, each from a different clinical expert or rater, in the expectation that possible diagnostic errors could be mitigated. Meanwhile, from the computer vision practitioner viewpoin