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Statistics

  • Number of checkpoints: 45

  • Number of configs: 47

  • Number of papers: 18

    • ALGORITHM: 18

Key Information Extraction Models

  • Number of checkpoints: 3

  • Number of configs: 3

  • Number of papers: 1

    • [ALGORITHM] Spatial Dual-Modality Graph Reasoning for Key Information Extraction

Text Detection Models

  • Number of checkpoints: 27

  • Number of configs: 27

  • Number of papers: 8

    • [ALGORITHM] Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

    • [ALGORITHM] Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network

    • [ALGORITHM] Fourier Contour Embedding for Arbitrary-Shaped Text Detection

    • [ALGORITHM] Mask R-CNN

    • [ALGORITHM] Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

    • [ALGORITHM] Real-Time Scene Text Detection With Differentiable Binarization

    • [ALGORITHM] Shape Robust Text Detection With Progressive Scale Expansion Network

    • [ALGORITHM] Textsnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Text Recognition Models

  • Number of checkpoints: 15

  • Number of configs: 17

  • Number of papers: 9

    • [ALGORITHM] An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

    • [ALGORITHM] Aster: An Attentional Scene Text Recognizer With Flexible Rectification

    • [ALGORITHM] Nrtr: A No-Recurrence Sequence-to-Sequence Model for Scene Text Recognition

    • [ALGORITHM] On Recognizing Texts of Arbitrary Shapes With 2d Self-Attention

    • [ALGORITHM] Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

    • [ALGORITHM] Robustscanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

    • [ALGORITHM] Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

    • [ALGORITHM] Svtr: Scene Text Recognition With a Single Visual Model

    • [ALGORITHM] {Master

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