Chen Gao, Yuliang Zou, Jia-Bin Huang

Abstract

We tackle the challenging problem of human-object interaction (HOI) detection. Existing methods either recognize the interaction of each human-object pair in isolation or perform joint inference based on complex appearance-based features. In this paper, we leverage an abstract spatial-semantic representation to describe each human-object pair and aggregate the contextual information of the scene via a dual relation graph (one human-centric and one object-centric). Our proposed dual relation graph effectively captures discriminative cues from the scene to resolve ambiguity from local predictions. Our model is conceptually simple and leads to favorable results compared to the state-of-the-art HOI detection algorithms on two large-scale benchmark datasets.

Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang: DRG: Dual Relation Graph for Human-Object Interaction Detection. ECCV (12) 2020: 696-712

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Chen Gao


Yuliang Zou


Jia-Bin Huang


Publication Details

Date of publication:
October 7, 2020
Conference:
European Conference on Computer Vision (ECCV)
Page number(s):
696-712