SOTAVerified

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

Showing 5175 of 99 papers

TitleStatusHype
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts0
Multimodal weighted graph representation for information extraction from visually rich documents.Code0
Object Recognition from Scientific Document based on Compartment Refinement Framework0
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense UnderstandingCode0
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and BeyondCode0
Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach0
Document Layout Analysis on BaDLAD Dataset: A Comprehensive MViTv2 Based Approach0
Vision Grid Transformer for Document Layout AnalysisCode0
Bengali Document Layout Analysis with Detectron20
The YOLO model that still excels in document layout analysis0
Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis0
Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD0
A Graphical Approach to Document Layout AnalysisCode0
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images0
Document Layout Annotation: Database and Benchmark in the Domain of Public AffairsCode0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection0
BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis DatasetCode0
Détection d'Objets dans les documents numérisés par réseaux de neurones profonds0
Efficient few-shot learning for pixel-precise handwritten document layout analysis0
Transformer-based Approach for Document Understanding0
Unified Pretraining Framework for Document Understanding0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CDeC-NetTable0.98Unverified
2VGTOverall0.96Unverified
3TRDLUOverall0.96Unverified
4VSROverall0.96Unverified
5DETROverall0.96Unverified
6LayoutLMv3-BOverall0.95Unverified
7DiT-LOverall0.95Unverified
8DoPTAOverall0.95Unverified
9UDocOverall0.94Unverified
10ResNext-101-32×8dOverall0.94Unverified
#ModelMetricClaimedVerifiedStatus
1CV-GroupClass Average IoU83.4Unverified
2CNKIClass Average IoU77.8Unverified
3VAI-OCRClass Average IoU70.7Unverified
4DeepLabV3+Class Average IoU66.5Unverified
5L3i++Class Average IoU (Few-shot setting)61.1Unverified
#ModelMetricClaimedVerifiedStatus
1DoPTA mAP70.72Unverified
2DocLayout-YOLO mAP70.3Unverified
3VGT mAP68.8Unverified
#ModelMetricClaimedVerifiedStatus
1Faster_RCNNOverall0.96Unverified
2fglihaiOverall0.96Unverified
3Faster-RCNNOverall0.95Unverified
#ModelMetricClaimedVerifiedStatus
1fglihaiOverall0.92Unverified
2USYD NLP_CS29-2Overall0.92Unverified
3Faster-RCNNOverall0.91Unverified
#ModelMetricClaimedVerifiedStatus
1VisualWordGridFAR28.7Unverified