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Document Layout Analysis On Publaynet Val

Metrics

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List

Overall

Table

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Results

Performance results of various models on this benchmark

Model Name	Figure	List	Overall	Table	Text	Title	Paper Title	Repository
DETR	0.975	0.964	0.957	0.981	0.947	0.918	Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images	-
VSR	0.964	0.947	0.957	0.974	0.967	0.931	VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations	-
DoPTA-HR	0.970	0.957	0.949	0.977	0.944	0.895	DoPTA: Improving Document Layout Analysis using Patch-Text Alignment	-
ResNext-101-32×8d	0.968	0.940	0.935	0.976	0.930	0.862	Vision Grid Transformer for Document Layout Analysis
UDoc	0.964	0.937	0.939	0.973	0.939	0.885	Unified Pretraining Framework for Document Understanding	-
LayoutLMv3-B	0.970	0.955	0.951	0.979	0.945	0.906	LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
GLAM	0.206	0.862	0.722	0.868	0.878	0.800	A Graphical Approach to Document Layout Analysis
CDeC-Net	-	-	-	0.978	-	-	CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
DiT-L	0.972	0.960	0.949	0.978	0.944	0.893	DiT: Self-supervised Pre-training for Document Image Transformer
TRDLU	0.966	0.975	0.959	0.976	0.958	0.921	Transformer-based Approach for Document Understanding	-
Faster RCNN	0.937	0.883	0.902	0.954	0.910	0.826	PubLayNet: largest dataset ever for document layout analysis
Mask RCNN	0.949	0.886	0.910	0.960	0.916	0.840	PubLayNet: largest dataset ever for document layout analysis
DeiT-B	0.957	0.921	0.932	0.972	0.934	0.874	Training data-efficient image transformers & distillation through attention	-
VGT	0.971	0.968	0.962	0.981	0.950	0.939	Vision Grid Transformer for Document Layout Analysis
BEiT-B	0.957	0.924	0.931	0.973	0.934	0.866	BEiT: BERT Pre-Training of Image Transformers

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