HyperAI

Document Layout Analysis On Publaynet Val

Metriken

Figure
List
Overall
Table
Text
Title

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle
ModellnameFigureListOverallTableTextTitle
bridging-the-performance-gap-between-detr-and0.9750.9640.9570.9810.9470.918
vsr-a-unified-framework-for-document-layout0.9640.9470.9570.9740.9670.931
dopta-improving-document-layout-analysis0.9700.9570.9490.9770.9440.895
vision-grid-transformer-for-document-layout0.9680.9400.9350.9760.9300.862
unified-pretraining-framework-for-document0.9640.9370.9390.9730.9390.885
layoutlmv3-pre-training-for-document-ai-with0.9700.9550.9510.9790.9450.906
a-graphical-approach-to-document-layout0.2060.8620.7220.8680.8780.800
cdec-net-composite-deformable-cascade-network---0.978--
dit-self-supervised-pre-training-for-document0.9720.9600.9490.9780.9440.893
transformer-based-approach-for-document0.9660.9750.9590.9760.9580.921
1908078360.9370.8830.9020.9540.9100.826
1908078360.9490.8860.9100.9600.9160.840
training-data-efficient-image-transformers0.957 0.9210.9320.9720.9340.874
vision-grid-transformer-for-document-layout0.9710.9680.9620.9810.9500.939
beit-bert-pre-training-of-image-transformers 0.9570.9240.9310.9730.9340.866