Papers › Detecting Visual Relationships with Deep Relational Networks
Detecting Visual Relationships with Deep Relational Networks
Bo Dai, Yuqi Zhang, Dahua Lin
Relationships among objects play a crucial role in image understanding. Despite the great success of deep learning techniques in recognizing individual objects, reasoning about the relationships among objects remains a challenging task. Previous methods often treat this as a classification problem, considering each type of relationship (e.g. "ride") or each distinct visual phrase (e.g. "person-ride-horse") as a category. Such approaches are faced with significant difficulties caused by the high diversity of visual appearance for each kind of relationships or the large number of distinct visual phrases. We propose an integrated framework to tackle this problem. At the heart of this framework is the Deep Relational Network, a novel formulation designed specifically for exploiting the statistical dependencies between objects and their relationships. On two large datasets, the proposed method achieves substantial improvement over state-of-the-art.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Visual Relationship Detection | VRD Phrase Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@100 | 23.45 | #3 of 7 | Archive leaderboard | report |
| Visual Relationship Detection | VRD Phrase Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@50 | 19.93 | #3 of 7 | Archive leaderboard | report |
| Visual Relationship Detection | VRD Predicate Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@100 | 81.90 | #4 of 7 | Archive leaderboard | report |
| Visual Relationship Detection | VRD Predicate Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@50 | 80.78 | #4 of 7 | Archive leaderboard | report |
| Visual Relationship Detection | VRD Relationship Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@100 | 20.88 | #4 of 8 | Archive leaderboard | report |
| Visual Relationship Detection | VRD Relationship Detection | Dai et. al [[Dai, Zhang, and Lin2017]] | R@50 | 17.73 | #4 of 8 | 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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