DRG: Dual Relation Graph for Human-Object Interaction Detection

ECCV 2020  ·  Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang ·

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.

PDF Abstract ECCV 2020 PDF ECCV 2020 Abstract
Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Human-Object Interaction Detection HICO-DET DRG mAP 24.53 # 34
Human-Object Interaction Detection V-COCO DRG AP(S1) 51.0 # 26

Methods


No methods listed for this paper. Add relevant methods here