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 51–60 of 99 papers

Title	Date	Tasks	Status
DLAFormer: An End-to-End Transformer For Document Layout Analysis	May 20, 2024	Document Layout AnalysisDocument Summarization	—Unverified
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts	Feb 3, 2022	ArticlesDocument Layout Analysis	—Unverified
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning	Jan 1, 2025	Document Layout AnalysisImage Segmentation	—Unverified
Document AI: Benchmarks, Models and Applications	Nov 16, 2021	Deep LearningDocument AI	—Unverified
Document Domain Randomization for Deep Learning Document Layout Extraction	May 20, 2021	Deep LearningDocument Layout Analysis	—Unverified
Document Image Layout Analysis via Explicit Edge Embedding Network	Oct 1, 2021	Data AugmentationDocument Layout Analysis	—Unverified
Document Layout Analysis on BaDLAD Dataset: A Comprehensive MViTv2 Based Approach	Aug 31, 2023	Document Layout Analysis	—Unverified
Document Layout Analysis via Dynamic Residual Feature Fusion	Apr 7, 2021	Document Layout AnalysisOptical Character Recognition	—Unverified
Document Layout Analysis with Aesthetic-Guided Image Augmentation	Nov 27, 2021	Document Layout Analysisdocument understanding	—Unverified
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment	Dec 17, 2024	Document AIDocument Image Classification	—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