Document Layout Analysis On Publaynet Val
評価指標
Figure
List
Overall
Table
Text
Title
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 | Figure | List | Overall | Table | Text | Title |
|---|---|---|---|---|---|---|
| bridging-the-performance-gap-between-detr-and | 0.975 | 0.964 | 0.957 | 0.981 | 0.947 | 0.918 |
| vsr-a-unified-framework-for-document-layout | 0.964 | 0.947 | 0.957 | 0.974 | 0.967 | 0.931 |
| dopta-improving-document-layout-analysis | 0.970 | 0.957 | 0.949 | 0.977 | 0.944 | 0.895 |
| vision-grid-transformer-for-document-layout | 0.968 | 0.940 | 0.935 | 0.976 | 0.930 | 0.862 |
| unified-pretraining-framework-for-document | 0.964 | 0.937 | 0.939 | 0.973 | 0.939 | 0.885 |
| layoutlmv3-pre-training-for-document-ai-with | 0.970 | 0.955 | 0.951 | 0.979 | 0.945 | 0.906 |
| a-graphical-approach-to-document-layout | 0.206 | 0.862 | 0.722 | 0.868 | 0.878 | 0.800 |
| cdec-net-composite-deformable-cascade-network | - | - | - | 0.978 | - | - |
| dit-self-supervised-pre-training-for-document | 0.972 | 0.960 | 0.949 | 0.978 | 0.944 | 0.893 |
| transformer-based-approach-for-document | 0.966 | 0.975 | 0.959 | 0.976 | 0.958 | 0.921 |
| 190807836 | 0.937 | 0.883 | 0.902 | 0.954 | 0.910 | 0.826 |
| 190807836 | 0.949 | 0.886 | 0.910 | 0.960 | 0.916 | 0.840 |
| training-data-efficient-image-transformers | 0.957 | 0.921 | 0.932 | 0.972 | 0.934 | 0.874 |
| vision-grid-transformer-for-document-layout | 0.971 | 0.968 | 0.962 | 0.981 | 0.950 | 0.939 |
| beit-bert-pre-training-of-image-transformers | 0.957 | 0.924 | 0.931 | 0.973 | 0.934 | 0.866 |