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Jun, 2023
多模态分类的平衡主动学习
Towards Balanced Active Learning for Multimodal Classification
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Meng Shen, Yizheng Huang, Jianxiong Yin, Heqing Zou, Deepu Rajan...
TL;DR
本文提出了三个设计均衡的多模式主动学习策略的指导方针,并通过调节模态间的支配度来调节梯度嵌入,从而实现更公平的数据选择,本方法在多种多模态分类任务上表现优异,实现了更平衡的多模态学习。
Abstract
Training
multimodal networks
requires a vast amount of data due to their larger parameter space compared to unimodal networks.
active learning
is a widely used technique for reducing data annotation costs by sele
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