Visual Relationship Detection On Vrd
Metrics
R@100
R@50
Results
Performance results of various models on this benchmark
| Paper Title | |||
|---|---|---|---|
| Yu et. al [[Yu et al.2017a]] | 94.65 | 85.64 | Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation |
| vrd-dsr | 93.18 | 86.01 | Visual relationship detection with deep structural ranking |
| BLOCK | 92.58 | 86.58 | BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection |
| Dai et. al [[Dai, Zhang, and Lin2017]] | 81.90 | 80.78 | Detecting Visual Relationships with Deep Relational Networks |
| Peyre et. al [[Peyre et al.2017]] | 52.6 | 52.6 | Weakly-supervised learning of visual relations |
| Lu et. al [[Lu et al.2016]] | 47.87 | 47.87 | Visual Relationship Detection with Language Priors |
| Zhang et. al [[Hanwang Zhang2017]] | 44.76 | 44.76 | Visual Translation Embedding Network for Visual Relation Detection |
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