.png){kind=icon}
Return
DRFN: A unified framework for complex document layout analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ipm.2023.103339.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Document layout analysis (DLA) plays a vital role in information processing and management. At this stage, the processing of non-Manhattan layout documents has become the bottleneck in implementing the universal document layout analysis framework. To address this challenge, we propose a Complex Document Semantic Structure Extraction non-Manhattan document layout dataset (CDSSE). Furthermore, we design a Dynamic Residual Feature fusion Network (DRFN) to integrate the feature differences between non-Manhattan layouts and Manhattan layouts. During the fusion process, the DRFN makes full use of low-dimensional information and maintains the integrity of high-level semantic information through a Dynamic Residual Fusion Block (DRF). To overcome model overfitting caused by data scarcity, we propose a novel Dynamic Selection Mechanism (DSM). We prove that the DRFN can achieve comparable results on all benchmark datasets. For the Manhattan layout document, F1 reached 89.5% on DSSE-200 and 95.1% on CS-150. For the non-Manhattan layout document, F1 reached 86.8% on CDSSE. In addition, we verified the effectiveness of the model structure. On all datasets, the performance of the model using DRF was significantly improved (DSSE-200: 76.6% vs. 80.3%, CS-150: 91.7% vs. 93.1%, 62.6% vs. 71.8%). The use of the DSM was also significantly improved (DSSE-200: 89.0% vs. 89.5%, CS-150: 94.3% vs. 95.1%, 84.8% vs. 86.8%).
Keywords:
document layout analysis
Deep learning
Dynamic residual feature Fusion
Information extraction
Information understanding
Journal
I
IF:
6.9
Papers:
5.2K
Citations:
1.4W
Organization
Cited Papers
ShareSaveEffects of Coarse and Fine Crushed Clay Brick Content on the Compressive Strength of Recycled Aggregate Concrete and the Microscopic Mechanism.png)
Geofluids
OAAI
GeofluidsIF0
OAAIShareSaveShareSaveShareSaveElectrochemically assisted micro localized grafting of aptamers in a microchannel engraved in fluorinated thermoplastic polymer Dyneon THVRSC Advances
RSC AdvancesIF0
PREAI
ShareSave
View more