Mask-guided sample selection for semi-supervised instance segmentation
نویسندگان
چکیده
منابع مشابه
Instance Selection in Semi-supervised Learning
Semi-supervised learning methods utilize abundant unlabeled data to help to learn a better classifier when the number of labeled instances is very small. A common method is to select and label unlabeled instances that the current classifier has high classification confidence to enlarge the labeled training set and then to update the classifier, which is widely used in two paradigms of semi-supe...
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ژورنال
عنوان ژورنال: Multimedia Tools and Applications
سال: 2020
ISSN: 1380-7501,1573-7721
DOI: 10.1007/s11042-020-09235-4