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Sep, 2020
PCPL: 面向无偏场景图生成的谓词-相关感知学习
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
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Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang...
TL;DR
介绍了针对场景图生成任务中的类别不平衡问题,提出了一种基于谓语相关性感知的学习方案,并通过图编码器进一步提取上下文特征以提高模型性能。实验证明,该方法在处理长尾分布时具有更好的表现。
Abstract
Today,
scene graph generation
(SGG) task is largely limited in realistic scenarios, mainly due to the extremely long-tailed bias of predicate annotation distribution. Thus, tackling the
class imbalance
trouble of
→