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Jan, 2022
利用自监督预设任务进行主动学习的PT4AL
Using Self-Supervised Pretext Tasks for Active Learning
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John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
TL;DR
本文提出一种创新的主动学习方法，利用自监督的预训练任务和独特的数据采样器，通过选择具有难度和代表性的数据来解决数据标注代价高的问题，并在各种图像分类和分割基准上取得了令人信服的性能。
Abstract
Labeling a large set of data is expensive.
active learning
aims to tackle this problem by asking to annotate only the most informative data from the unlabeled set. We propose a novel
active learning
approach that
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