Visual Relationship Detection On Vrd
Metrics
R@100
R@50
Results
Performance results of various models on this benchmark
Model Name | R@100 | R@50 | Paper Title | Repository |
|---|---|---|---|---|
| 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 | |
| Lu et. al [[Lu et al.2016]] | 47.87 | 47.87 | Visual Relationship Detection with Language Priors | - |
| Peyre et. al [[Peyre et al.2017]] | 52.6 | 52.6 | Weakly-supervised learning of visual relations | - |
| Zhang et. al [[Hanwang Zhang2017]] | 44.76 | 44.76 | Visual Translation Embedding Network for Visual Relation Detection | |
| Yu et. al [[Yu et al.2017a]] | 94.65 | 85.64 | Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation | - |
0 of 7 row(s) selected.