Visual Relationship Detection On Vrd 1
Metrics
R@100
R@50
Results
Performance results of various models on this benchmark
Model Name | R@100 | R@50 | Paper Title | Repository |
|---|---|---|---|---|
| Liang et. al [[Liang, Lee, and Xing2017]] | 20.79 | 18.19 | Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection | |
| Dai et. al [[Dai, Zhang, and Lin2017]] | 20.88 | 17.73 | Detecting Visual Relationships with Deep Relational Networks | |
| Zhang et. al [[Hanwang Zhang2017]] | 15.20 | 14.07 | Visual Translation Embedding Network for Visual Relation Detection | |
| BLOCK | 20.96 | 19.06 | BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection | |
| vrd-dsr | 23.29 | 19.03 | Visual relationship detection with deep structural ranking | |
| Yu et. al [[Yu et al.2017a]] | 31.89 | 22.68 | Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation | - |
| Peyre et. al [[Peyre et al.2017]] | 17.1 | 15.8 | Weakly-supervised learning of visual relations | - |
| Lu et. al [[Lu et al.2016]] | 14.70 | 13.86 | Visual Relationship Detection with Language Priors | - |
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