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 91–99 of 99 papers

Title	Date	Tasks	Status
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks	Oct 18, 2020	Document Layout Analysisobject-detection	—Unverified
VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach	Oct 5, 2020	Document Layout Analysis	—Unverified
Visual Detection with Context for Document Layout Analysis	Nov 1, 2019	ArticlesDocument Layout Analysis	—Unverified
Multi-Task Handwritten Document Layout Analysis	Jun 22, 2018	Document Layout Analysis	CodeCode Available
dhSegment: A generic deep-learning approach for document segmentation	Apr 27, 2018	Deep LearningDiversity	CodeCode Available
Improving Document Clustering by Removing Unnatural Language	Sep 1, 2017	ClusteringDocument Layout Analysis	—Unverified
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts	Oct 23, 2016	BinarizationDocument Layout Analysis	—Unverified
Natural Language Inspired Approach for Handwritten Text Line Detection in Legacy Documents	Apr 1, 2012	Document Layout AnalysisLine Detection	—Unverified
Parameter-free Geometric Document Layout Analysis	Nov 1, 2001	AttributeDocument Layout Analysis	—Unverified

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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