Visual Dialog On Visdial V09 Val
評価指標
MRR
Mean Rank
R@1
R@10
R@5
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | MRR | Mean Rank | R@1 | R@10 | R@5 |
|---|---|---|---|---|---|
| are-you-talking-to-me-reasoned-visual-dialog | 63.98 | 4.47 | 50.29 | 88.81 | 80.71 |
| making-history-matter-gold-critic-sequence | 0.6792 | 3.97 | 54.76 | 90.68 | 83.03 |
| visual-dialog | 0.5846 | 5.72 | 44.67 | 84.22 | 74.50 |
| dual-attention-networks-for-visual-reference | 66.38 | 4.04 | 53.33 | 90.38 | 82.42 |
| visual-coreference-resolution-in-visual | 63.6 | 4.53 | 50.24 | 88.51 | 79.81 |
| iterative-context-aware-graph-inference-for | 0.6756 | 3.75 | 54.64 | 91.48 | 83.72 |
| dualvd-an-adaptive-dual-encoding-model-for | 62.94 | 4.17 | 48.64 | 89.94 | 80.89 |
| visual-dialog | 0.5807 | 5.78 | 43.82 | 84.07 | 74.68 |
| multi-view-attention-networks-for-visual | 0.6765 | 3.73 | 54.65 | 91.47 | 83.85 |
| visual-reference-resolution-using-attention | - | 4.86 | 48.53 | 87.43 | 78.66 |
| visual-coreference-resolution-in-visual | 64.1 | 4.45 | 50.92 | 88.81 | 80.18 |
| recursive-visual-attention-in-visual-dialog | 0.6634 | 3.93 | 52.71 | 90.73 | 82.97 |
| best-of-both-worlds-transferring-knowledge | 62.22 | 4.81 | 48.48 | 87.59 | 78.75 |
| factor-graph-attention | 68.92 | 3.39 | 55.16 | 92.95 | 86.26 |
| hierarchical-question-image-co-attention-for | 57.88 | 5.84 | 43.51 | 83.96 | 74.49 |
| visual-dialog | 0.5965 | 5.46 | 45.55 | 85.37 | 76.22 |
| reasoning-visual-dialogs-with-structural-and | 0.6285 | 4.57 | 48.95 | 88.36 | 79.65 |
| two-can-play-this-game-visual-dialog-with | 62.42 | 4.70 | 48.55 | 87.75 | 78.96 |