mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
48 lines
2.6 KiB
Markdown
48 lines
2.6 KiB
Markdown
|
# Statistics
|
||
|
|
|
||
|
|
- Number of checkpoints: 31
|
||
|
|
- Number of configs: 28
|
||
|
|
- Number of papers: 17
|
||
|
|
- ALGORITHM: 17
|
||
|
|
|
||
|
|
## [ Key Information Extraction Models](kie_models.md)
|
||
|
|
|
||
|
|
- Number of checkpoints: 3
|
||
|
|
- Number of configs: 3
|
||
|
|
- Number of papers: 1
|
||
|
|
- \[ALGORITHM\] [Spatial Dual-Modality Graph Reasoning for Key Information Extraction](kie_models.html#sdmgr)
|
||
|
|
|
||
|
|
## [](ner_models.md)
|
||
|
|
|
||
|
|
- Number of checkpoints: 0
|
||
|
|
- Number of configs: 0
|
||
|
|
- Number of papers: 0
|
||
|
|
|
||
|
|
## [ Text Detection Models](textdet_models.md)
|
||
|
|
|
||
|
|
- Number of checkpoints: 15
|
||
|
|
- Number of configs: 14
|
||
|
|
- Number of papers: 8
|
||
|
|
- \[ALGORITHM\] [Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection](textdet_models.html#drrg)
|
||
|
|
- \[ALGORITHM\] [Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network](textdet_models.html#panet)
|
||
|
|
- \[ALGORITHM\] [Fourier Contour Embedding for Arbitrary-Shaped Text Detection](textdet_models.html#fcenet)
|
||
|
|
- \[ALGORITHM\] [Mask R-CNN](textdet_models.html#mask-r-cnn)
|
||
|
|
- \[ALGORITHM\] [Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion](textdet_models.html#dbnetpp)
|
||
|
|
- \[ALGORITHM\] [Real-Time Scene Text Detection With Differentiable Binarization](textdet_models.html#dbnet)
|
||
|
|
- \[ALGORITHM\] [Shape Robust Text Detection With Progressive Scale Expansion Network](textdet_models.html#psenet)
|
||
|
|
- \[ALGORITHM\] [Textsnake: A Flexible Representation for Detecting Text of Arbitrary Shapes](textdet_models.html#textsnake)
|
||
|
|
|
||
|
|
## [ Text Recognition Models](textrecog_models.md)
|
||
|
|
|
||
|
|
- Number of checkpoints: 13
|
||
|
|
- Number of configs: 11
|
||
|
|
- Number of papers: 8
|
||
|
|
- \[ALGORITHM\] [An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition](textrecog_models.html#crnn)
|
||
|
|
- \[ALGORITHM\] [Nrtr: A No-Recurrence Sequence-to-Sequence Model for Scene Text Recognition](textrecog_models.html#nrtr)
|
||
|
|
- \[ALGORITHM\] [On Recognizing Texts of Arbitrary Shapes With 2d Self-Attention](textrecog_models.html#satrn)
|
||
|
|
- \[ALGORITHM\] [Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition](textrecog_models.html#abinet)
|
||
|
|
- \[ALGORITHM\] [Robust Scene Text Recognition With Automatic Rectification](textrecog_models.html#crnn-stn)
|
||
|
|
- \[ALGORITHM\] [Robustscanner: Dynamically Enhancing Positional Clues for Robust Text Recognition](textrecog_models.html#robustscanner)
|
||
|
|
- \[ALGORITHM\] [Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition](textrecog_models.html#sar)
|
||
|
|
- \[ALGORITHM\] [{Master](textrecog_models.html#master)
|