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Method and Apparatus of improving self-supervised learning performance utilizing synthesized data
Method and Apparatus of improving self-supervised learning performance utilizing synthesized data
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机译：利用合成数据改善自我监督学习成绩的方法和装置
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摘要
Provided is a method for improving semi supervised learning performance utilizing synthetized data according to the present invention. The method comprises: a novel data generation step of generating novel data with actual data and a generation model; a labeling performing step of performing random labeling in the generated novel data; and a classification model training step of training a classification model with the actual data and random labeled data. In the classification model training step, the proper labeling may be performed on the data generated in the generation model by adding the synthetized data, which is generated since the actual data is labeled with a uniform weight, and improving the classification model performance.
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