Search Results for author:
Found 6 papers, 2 papers with code
GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction
In this representation, the vertexes and edges of the grid store the localization and adjacency information of the table.
Recognition of Handwritten Chinese Text by Segmentation: A Segment-annotation-free Approach
A novel weakly supervised learning method is proposed to enable the network to be trained using only transcript annotations; thus, the expensive character segmentation annotations required by previous segmentation-based methods can be avoided.
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures.
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
Visual information extraction (VIE) has attracted increasing attention in recent years.
Optical Character Recognition
Optical Character Recognition (OCR)
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Towards an efficient framework for Data Extraction from Chart Images
For building a robust point detector, a fully convolutional network with feature fusion module is adopted, which can distinguish close points compared to traditional methods.
Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization
In this framework, two branches named character branch and layout branch are added behind the feature extraction network.
