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

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Showing 51–99 of 99 papers

TitleStatusHype
VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach—0
VTLayout: Fusion of Visual and Text Features for Document Layout Analysis—0
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court—0
A Hybrid Approach for Document Layout Analysis in Document images—0
AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorization—0
AutoIE: An Automated Framework for Information Extraction from Scientific Literature—0
Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs—0
Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach—0
Bengali Document Layout Analysis with Detectron2—0
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
Callico: a Versatile Open-Source Document Image Annotation Platform—0
Cross-Domain Document Layout Analysis Using Document Style Guide—0
Détection d'Objets dans les documents numérisés par réseaux de neurones profonds—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts—0
DLAFormer: An End-to-End Transformer For Document Layout Analysis—0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts—0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning—0
Document AI: Benchmarks, Models and Applications—0
Document Domain Randomization for Deep Learning Document Layout Extraction—0
Document Image Layout Analysis via Explicit Edge Embedding Network—0
Document Layout Analysis on BaDLAD Dataset: A Comprehensive MViTv2 Based Approach—0
Document Layout Analysis via Dynamic Residual Feature Fusion—0
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment—0
EDocNet: Efficient Datasheet Layout Analysis Based on Focus and Global Knowledge Distillation—0
Efficient few-shot learning for pixel-precise handwritten document layout analysis—0
Evaluation of a Region Proposal Architecture for Multi-task Document Layout Analysis—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD—0
From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents—0
Graph-based Document Structure Analysis—0
Human-In-The-Loop Document Layout Analysis—0
ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)—0
Improving Document Clustering by Removing Unnatural Language—0
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks—0
Natural Language Inspired Approach for Handwritten Text Line Detection in Legacy Documents—0
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison—0
Object Recognition from Scientific Document based on Compartment Refinement Framework—0
Parameter-free Geometric Document Layout Analysis—0
Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis—0
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation—0
The YOLO model that still excels in document layout analysis—0
Towards Unified Multi-granularity Text Detection with Interactive Attention—0
Transformer-based Approach for Document Understanding—0
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts—0
Unified Pretraining Framework for Document Understanding—0
UnSupDLA: Towards Unsupervised Document Layout Analysis—0
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All datasetsPubLayNet valU-DIADS-BibD4LADocument Layout Recognition Challenge mini-devDocument Layout Recognition Challenge testRVL-CDIP

Benchmark Results

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