Learning algorithm with noisy labels for video frame classification

被引：0

作者：

Lee, Junggi ^{[1
]}

Kong, Kyeongbo ^{[1
]}

Song, Woo-Jin ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Elect Engn, San 31, Pohang 37673, South Korea

来源：

JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY | 2020年 / 28卷 / 12期

关键词：

Deep learning; noisy label; semisupervised learning; temporal information; video frame classification; MOTION-ESTIMATION;

D O I：

10.1002/jsid.959

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose Recycling+, an algorithm that uses temporal information for video frame classification with noisy label. With the proposed algorithm, the network can be trained robustly through not only clean samples with original labels but also noisy samples with corrected labels obtained by temporal average predictions.

引用

页码：997 / 1002

页数：6

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