• Corpus ID: 237213678

Exploiting Scene Graphs for Human-Object Interaction Detection

@article{He2021ExploitingSG,
  title={Exploiting Scene Graphs for Human-Object Interaction Detection},
  author={Tao He and Lianli Gao and Jingkuan Song and Yuan-Fang Li},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.08584}
}
Human-Object Interaction (HOI) detection is a fundamental visual task aiming at localizing and recognizing interactions between humans and objects. Existing works focus on the visual and linguistic features of the humans and objects. However, they do not capitalise on the high-level and semantic relationships present in the image, which provides crucial contextual and detailed relational knowledge for HOI inference. We propose a novel method to exploit this information, through the scene graph… 

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References

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TLDR
A heterogeneous graph network that models humans and objects as different kinds of nodes and incorporates intra- class messages between homogeneous nodes and inter-class messages between heterogeneous nodes is proposed and exploited to improve the learning.
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TLDR
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TLDR
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