Jinkwon Hwang1, Mingyu Jeon1, Junyeong Kim1

  • 1Department of AI, Chung-Ang University, Seoul 06974, Republic of Korea.

PubMed
概括

这项研究介绍了一种多式联网隐性表示学习框架 (MLRL),以加快AI视频分析. MLRL通过从预先提取的特征学习来提高模型性能,减少研究人员的计算时间.

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