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Apr, 2023
攻击即数据增强:面向对比骨架表示学习的研究
Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning
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Binqian Xu, Xiangbo Shu, Rui Yan, Guo-Sen Xie, Yixiao Ge...
TL;DR
本文提出了一种针对骨架动作识别的对抗性强化增强方法(A^2MC),通过攻击和强化的协作方式生成高质量的数据样本,提高对骨骼结构的识别准确度。
Abstract
contrastive learning
, relying on effective positive and negative sample pairs, is beneficial to learn informative skeleton representations in unsupervised
skeleton-based action recognition
. To achieve these posit
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