Document Layout Analysis - Groups

Graph Neural Networks and Representation Embedding for Table Extraction in PD...

Table Extraction (TE) is redeﬁned as a node classiﬁcation task, addressed by a GNN. Graph nodes are composed of basic PDF objects while edges are computed considering...

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Towards End-to-End Unified Scene Text Detection and Layout Analysis

Scene text detection and document layout analysis have long been treated as two separate tasks in different image domains. In this paper, we bring them together and introduce...

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PublayNet: largest dataset ever for document layout analysis

The PublayNet dataset is the largest dataset ever for document layout analysis task.

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VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

A document layout analysis model, VTLayout, based on the fusion of deep visual, shallow visual, and text features, is proposed to solve the low recognition rate of different...

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DiT

DiT: Self-supervised pre-training for document image Transformer.

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DocBank

DocBank consists of 500K document layouts by weak supervision of articles available on the arXiv.com.

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D4LA

A new benchmark named D4LA, which is the most diverse and detailed manually-labeled dataset for document layout analysis.

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Badlad: A large multi-domain Bengali document layout analysis dataset

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BaDLAD: A Comprehensive MViTv2 Based Approach

BaDLAD: A large multi-domain Bengali document layout analysis dataset

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Magazine

Magazine: This dataset contains Amazon Aeviews Data under the category of Magazine Subscriptions. We randomly sampled 100, 000 records and removed nodes with degrees lower than...

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CS-150

CS-150 is a dataset consisting of 150 papers and includes 1175 images.

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DSSE-200

DSSE-200 is a complex document layout dataset including various dataset styles.

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Document Layout Analysis via Dynamic Residual Feature Fusion

Document layout analysis (DLA) aims to split the document image into different interest regions and understand the role of each region.

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Comp-HRDoc

Document layout analysis (DLA) is crucial for understanding the physical layout and logical structure of documents, serving information retrieval, document summarization,...

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DLAFormer: An End-to-End Transformer For Document Layout Analysis

Document layout analysis (DLA) is crucial for understanding the physical layout and logical structure of documents, serving information retrieval, document summarization,...

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M6Doc

A large-scale multi-format, multi-type, multi-layout, multi-annotation category dataset for modern document layout analysis.

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DocLayNet

Document layout analysis (DLA) is crucial for understanding the physical layout and logical structure of documents, serving information retrieval, document summarization,...

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RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

A comprehensive robustness benchmark for Document Layout Analysis (DLA) models, including 450K document images from 3 datasets.

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PubLayNet dataset

The PubLayNet dataset is the largest dataset ever for document layout analysis.

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19 datasets found