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Jul, 2022
场景图生成的自适应细粒度谓词学习
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
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Xinyu Lyu, Lianli Gao, Pengpeng Zeng, Heng Tao Shen, Jingkuan Song
TL;DR
该研究提出了自适应细粒度谓词分辨学习方法,运用自适应谓词叶结点图的方法定位难以辨别的谓词并逐步规范学习,最终在VG-SGG和GQA-SGG数据集中的平均召回率上分别提高了175%和76%,取得了新的最佳性能。
Abstract
The performance of current
scene graph generation
(SGG) models is severely hampered by
hard-to-distinguish predicates
, e.g., woman-on/standing on/walking on-beach. As general SGG models tend to predict head predi
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