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Feb, 2024
通过深度参数估计增强多媒体理解网络的模块化系统
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation
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Francesco Barbato, Umberto Michieli, Mehmet Karim Yucel, Pietro Zanuttigh, Mete Ozay
TL;DR
通过模块化和高效的系统设计,我们提出了一个解决多媒体理解任务中嘈杂数据困扰的方法SyMPIE,该方法在多个数据集和任务上进行了验证,并取得了稳定的约5%的相对准确率提升。
Abstract
In
multimedia understanding tasks
, corrupted samples pose a critical challenge, because when fed to machine learning models they lead to performance degradation. In the past, three groups of approaches have been proposed to handle
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