| AAAI | 2022 | Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution | Attention | *CODE |
| AAAI | 2022 | Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition | Language Model | *CODE |
| arXiv | 2021/12/16 | TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance | Attention | No |
| arXiv | 2021/12/1 | Visual-Semantic Transformer for Scene Text Recognition | Language Model | No |
| arXiv | 2021/11/30 | Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | Language Model | *CODE |
| arXiv | 2021/11/17 | TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers | Data Augmentation | No |
| CVPR | 2021 | Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition | Language Model | *CODE |
| CVPR | 2021 | Primitive Representation Learning for Scene Text Recognition | Representation Learning | No |
| CVPR | 2021 | What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels | Few-shot Learning | No |
| CVPR | 2021 | Sequence-to-Sequence Contrastive Learning for Text Recognition | Contrastive Learning | No |
| ICCV | 2021 | From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network | Language Model | *CODE |
| ICCV | 2021 | Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition | Language Model | No |
| ICCV | 2021 | Towards the Unseen: Iterative Text Recognition by Distilling from Errors | Others | No |
| ICCV Workshop | 2021 | Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark | Others | *CODE |
| AAAI | 2021 | SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition | Others | *CODE |
| ICDAR | 2021 | RF-Learning: Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition | Others | *CODE |
| CVPR | 2020 | SCATTER: selective context attentional scene text recognizer | Attention | No |
| CVPR | 2020 | Towards accurate scene text recognition with semantic reasoning networks | Language Model | No |
| CVPR | 2020 | Seed: Semantics enhanced encoder-decoder framework for scene text recognition | Language Model | *CODE |
| CVPR | 2020 | UnrealText: Synthesizing realistic scene text images from the unreal world | Dataset | *CODE |
| CVPR | 2020 | Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition | Data Augmentation | *CODE |
| CVPR | 2020 | What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images | Others | No |
| CVPR | 2020 | On Vocabulary Reliance in Scene Text Recognition | Others | No |
| CVPR Workshop | 2020 | On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention | Attention | *CODE |
| ECCV | 2020 | Robustscanner: Dynamically enhancing positional clues for robust text recognition | Attention | CODEPytorch |
| ECCV | 2020 | Variational Connectionist Temporal Classification | CTC | No |
| AAAI | 2020 | GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition | CTC | No |
| AAAI | 2020 | Textscanner: Reading characters in order for robust scene text recognition | Attention | No |
| AAAI | 2020 | Decoupled attention network for text recognition | Attention | *CODE |
| PR | 2020 | Reinterpreting CTC training as iterative fitting | CTC | *CODE |
| Neural Computing | 2020 | Adaptive embedding gate for attention-based scene text recognition | Others | No |
| CVPR | 2019 | ESIR: End-to-end scene text recognition via iterative image rectification | Rectification Model | No |
| CVPR | 2019 | Sequence-to-sequence domain adaptation network for robust text image recognition | Others | No |
| CVPR | 2019 | Aggregation Cross-Entropy for Sequence Recognition | Others | *CODE |
| ICCV | 2019 | What is wrong with scene text recognition model comparisons? dataset and model analysis | Attention | *CODE |
| ICCV | 2019 | Symmetry-constrained Rectification Network for Scene Text Recognition | Rectification Model | No |
| AAAI | 2019 | Show, attend and read: A simple and strong baseline for irregular text recognition | Rectification Model | *CODE |
| ICDAR | 2019 | NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition | Attention | CODEPytorch |
| IEEE Access | 2019 | Natural Scene Text Recognition Based on Encoder-Decoder Framework | CTC | No |
| CVPR | 2018 | Edit probability for scene text recognition | Attention | No |
| CVPR | 2018 | AON: Towards arbitrarily-oriented text recognition | Attention | No |
| ECCV | 2018 | Synthetically supervised feature learning for scene text recognition | CTC | No |
| AAAI | 2018 | Char-Net: A character-aware neural network for distorted scene text recognition | Attention | No |
| AAAI | 2018 | SEE: Towards Semi-Supervised End-to-End Scene Text Recognition | Attention | *CODE |
| NIPS | 2018 | Connectionist Temporal Classification with Maximum Entropy Regularization | CTC | *CODE |
| ACM MM | 2018 | Attention and language ensemble for scene text recognition with convolutional sequence modeling | Attention | *CODE |
| TPRMI | 2018 | ASTER: An Attentional Scene Text Recognizer with Flexible Rectification | Attention | *CODE
CODEPytorch |
| PR | 2018 | MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition | Attention | *CODE |
| Neural Computing | 2018 | Reading scene text with fully convolutional sequence modeling | Attention | No |
| ICCV | 2017 | Focusing attention: Towards accurate text recognition in natural images | Attention | No |
| NIPS | 2017 | Gated recurrent convolution neural network for OCR | CTC | *CODE |
| IJCAI | 2017 | Learning to read irregular text with attention mechanisms | Attention | No |
| PR | 2017 | Accurate recognition of words in scenes without character segmentation using recurrent neural network | CTC | No |
| CVPR | 2016 | Recursive recurrent nets with attention modeling for OCR in the wild | Attention | No |
| CVPR | 2016 | Robust Scene Text Recognition With Automatic Rectification | Attention | No |
| CVPR | 2016 | Synthetic data for text localisation in natural images | Dataset | *CODE |
| TPAMI | 2016 | An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition | CTC | *CODE
CODEPytorch
CODETF |
| BMVC | 2016 | STAR-Net: A spatial attention residue network for scene text recognition | Attention | No |
| NIPS | 2014 | Synthetic data and artificial neural networks for natural scene text recognition | Dataset | No |
