Papers › DRG: Dual Relation Graph for Human-Object Interaction Detection
DRG: Dual Relation Graph for Human-Object Interaction Detection
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.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Human-Object Interaction Detection | HICO-DET | DRG | mAP | 24.53 | #36 of 55 | Archive leaderboard | report |
| Human-Object Interaction Detection | V-COCO | DRG | AP(S1) | 51.0 | #27 of 34 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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