BriefGPT.xyz
May, 2022
HL-Net:用于场景图生成的异质性学习网络
HL-Net: Heterophily Learning Network for Scene Graph Generatio
HTML
PDF
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao
TL;DR
该研究提出了一种新型网络,Heterophily Learning Network(HL-Net),通过采用自适应重新加权变压器模块、关系特征传播模块和异质性感知消息传递方案来全面探索场景图中对象/关系之间的同质性和异质性,实现了更好的消息传递,实验证明了该方法优于目前已有的现有的最先进的方法。
Abstract
scene graph generation
(SGG) aims to detect objects and predict their pairwise relationships within an image. Current SGG methods typically utilize
graph neural networks
(GNNs) to acquire context information betw
→