Visual Relationship Detection On Vrd Phrase
Metrics
R@100
R@50
Results
Performance results of various models on this benchmark
Model Name | R@100 | R@50 | Paper Title | Repository |
|---|---|---|---|---|
| Peyre et. al [[Peyre et al.2017]] | 19.5 | 17.9 | Weakly-supervised learning of visual relations | - |
| Liang et. al [[Liang, Lee, and Xing2017]] | 22.60 | 21.37 | Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection | |
| Dai et. al [[Dai, Zhang, and Lin2017]] | 23.45 | 19.93 | Detecting Visual Relationships with Deep Relational Networks | |
| BLOCK | 28.96 | 26.32 | BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection | |
| Lu et. al [[Lu et al.2016]] | 17.03 | 16.17 | Visual Relationship Detection with Language Priors | - |
| Zhang et. al [[Hanwang Zhang2017]] | 22.42 | 19.42 | Visual Translation Embedding Network for Visual Relation Detection | |
| Yu et. al [[Yu et al.2017a]] | 29.43 | 26.32 | Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation | - |
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