Document Layout Analysis

"Document Layout Analysis is performed to determine physical structure of a document, that is, to determine document components. These document components can consist of single connected components-regions [...] of pixels that are adjacent to form single regions [...] , or group of text lines. A text line is a group of characters, symbols, and words that are adjacent, “relatively close” to each other and through which a straight line can be drawn (usually with horizontal or vertical orientation)." L. O'Gorman, "The document spectrum for page layout analysis," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1162-1173, Nov. 1993.

Image credit: PubLayNet: largest dataset ever for document layout analysis

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 61–70 of 99 papers

Title	Date	Tasks	Status
Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis	Aug 21, 2023	Document Layout Analysis	—Unverified
Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD	Aug 15, 2023	Document Layout Analysis	—Unverified
A Graphical Approach to Document Layout Analysis	Aug 3, 2023	Document Layout AnalysisGraph Neural Network	CodeCode Available
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images	Jun 23, 2023	Document Layout AnalysisObject	—Unverified
Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs	Jun 12, 2023	Document Layout Analysis	CodeCode Available
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis	May 15, 2023	ArticlesDocument Layout Analysis	CodeCode Available
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection	May 10, 2023	Document Layout AnalysisInformation Retrieval	—Unverified
BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset	Mar 9, 2023	BenchmarkingDeep Learning	CodeCode Available
Détection d'Objets dans les documents numérisés par réseaux de neurones profonds	Jan 27, 2023	Document Layout AnalysisLine Detection	—Unverified
Efficient few-shot learning for pixel-precise handwritten document layout analysis	Oct 27, 2022	Document Layout AnalysisFew-Shot Learning	—Unverified

Show:10 25 50

← PrevPage 7 of 10Next →

All datasets PubLayNet val U-DIADS-Bib D4LA Document Layout Recognition Challenge mini-dev Document Layout Recognition Challenge test RVL-CDIP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CDeC-Net	Table	0.98	—	Unverified
2	VGT	Overall	0.96	—	Unverified
3	TRDLU	Overall	0.96	—	Unverified
4	VSR	Overall	0.96	—	Unverified
5	DETR	Overall	0.96	—	Unverified
6	LayoutLMv3-B	Overall	0.95	—	Unverified
7	DiT-L	Overall	0.95	—	Unverified
8	DoPTA	Overall	0.95	—	Unverified
9	UDoc	Overall	0.94	—	Unverified
10	ResNext-101-32×8d	Overall	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CV-Group	Class Average IoU	83.4	—	Unverified
2	CNKI	Class Average IoU	77.8	—	Unverified
3	VAI-OCR	Class Average IoU	70.7	—	Unverified
4	DeepLabV3+	Class Average IoU	66.5	—	Unverified
5	L3i++	Class Average IoU (Few-shot setting)	61.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DoPTA	mAP	70.72	—	Unverified
2	DocLayout-YOLO	mAP	70.3	—	Unverified
3	VGT	mAP	68.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster_RCNN	Overall	0.96	—	Unverified
2	fglihai	Overall	0.96	—	Unverified
3	Faster-RCNN	Overall	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	fglihai	Overall	0.92	—	Unverified
2	USYD NLP_CS29-2	Overall	0.92	—	Unverified
3	Faster-RCNN	Overall	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VisualWordGrid	FAR	28.7	—	Unverified