Awesome Handwritten-Mathematical-Expression-Recognition

mainly try to mark down my learning process of Handwritten Mathematical Expression Recognition.About papers,basic conception of this field

Papers

arXiv:

• [2019]Offline handwritten mathematical symbol recognition utilising deep learning[paper]
• [2019]Robust Encoder-Decoder Learning Framework towards Offline Handwritten Mathematical Expression Recognition Based on Multi-Scale Deep Neural Network[paper]
• [2019]Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions[paper]
• [2016 WYGIWYS]What you get is what you see: A visual markup decompiler[paper]

ECCV:

• [2022 CAN]When Counting Meets HMER: Counting Aware Network for Handwritten Mathematical Expression Recognition[paper]
• [2022 CoMER]CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition[paper]
• [2022]The Survey on Handwritten Mathematical Expressions Recognition[paper]
• [2022]CNN-Based Handwritten Mathematical Symbol Recognition Model[paper]

CVPR:

• [2022 SAN] Syntax-aware network for handwritten mathematical expression recognition[paper]

CVPRW:

• [2020 DLA]Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions[paper]

ICPR:

• [2022 对比学习]Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition[paper]
• [2022 字符串解码器]Structural String Decoder for Handwritten Mathematical Expression Recognition[paper]
• [2020 递归识别]Recursive Recognition of Offline Handwritten Mathematical Expressions[paper]
• [2018 DWAP ]An end-to-end neural network based approach to handwritten mathematical expression recognition[paper]
• [2018 ConvMath卷积序列网络]ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition[paper]
• [2014 RNN手写数学符号分类]Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks[paper]
• [2012]Baseline extraction-driven Parsing of handwritten mathematical expressions[paper]

ICPRAI:

• [2022 Residual Attention]An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention[paper]
• [2020 A Survey]Handwritten Mathematical Expression Recognition: A Survey[paper]
• [2020]Application of Deep Learning in Handwritten Mathematical Expressions Recognition[paper]

Pattern Recognition:

• [2022 句法数据生成]Syntactic data generation for handwritten mathematical expression recognition[paper]
• [2022 基于树的数据增强和相互学习]Tree-based data augmentation and mutual learning for offline handwritten mathematical expression recognition[paper])
• [2020]CNN based spatial classification features for clustering offline handwritten mathematical expressions[paper]
• [2017 WAP]Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition[paper]
• [2015 贝叶斯模型]A Bayesian model for recognizing handwritten mathematical expressions[paper]
• [2009 结构分析中的高效搜索策略]Efficient search strategy in structural analysis for handwritten mathematical expression recognition[paper]

ICFHR:

• [2023符号位置感知网络]Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition[paper]
• [2023空间注意和句法规则增强的树形解码器]Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offine Handwritten Mathematical Expression Recognition[paper]
• [2022基于合成数据生成和乱序多轮训练]Synthetic Data Generation and Shuffled Multi-Round Training Based Offline Handwritten Mathematical Expression Recognition[paper]
• [2022正则化门控递归单元]R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition[paper]
• [2022结合CNN和transfoemer作为编码器]Combining CNN and Transformer as Encoder to Improve End-to-End Handwritten Mathematical Expression Recognition Accuracy[paper]
• [ICFHR 2020 Competition]ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions-OffRaSHME[paper]
• [2020 WS-WAP]Improvement of End-to-End Offline Handwritten Mathematical Expression Recognition by Weakly Supervised Learning[paper]
• [2020 scale augmentation&drop attention]Improving attention-based handwritten mathematical expression recognition with scale augmentation and drop attention[paper]

IEEE:

• [2020]Stroke extraction for offline handwritten mathematical expression recognition[paper]

AAAI:

• [2022 ABM 基于注意力聚集的双向相互学习]Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning[paper]
• [2022]Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning[paper]

ICDAR:

• [2021]An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder[paper]
• [2021 Relation-Based]Relation-Based Representation for Handwritten Mathematical Expression Recognition[paper]
• [2021 BTTR]Handwritten mathematical expression recognition with bidirectionally trained transformer[paper]
• [2019 MAN]Multi-modal attention network for handwritten mathematical expression recognition[paper]

CoRR:

• [2022 句法感知网络]Syntax-Aware Network for Handwritten Mathematical Expression Recognition[paper]
• [2022]Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers[paper]
• [2020]Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network[paper]

PRCV:

• [2022 基于GCAttention的编码器和双向相互学习变换器]Handwritten Mathematical Expression Recognition via GCAttention-Based Encoder and Bidirectional Mutual Learning Transformer[paper]
• [2022 语义感知的非局部网络]Semantic-Aware Non-local Network for Handwritten Mathematical Expression Recognition[paper]

ICML:

• [2020 DWAP-TD]A Tree-Structured Decoder for Image-to-Markup Generation[paper]

IJCV:

• [2020 pal-v2]Handwritten Mathematical Expression Recognition via Paired Adversarial Learning[paper]

ICCPR:

• [2022 多尺度特征集成]Multi-Scale Features Integration for Handwritten Mathematical Expression Recognition[paper]

ACAI:

• [2021 Self-Attention]Handwritten Mathematical Expression Recognition with Self-Attention[paper]

ACOMP:

• [2021 An approach on data augmentation]Handwritten Mathematical Expression Recognition: An approach on data augmentation[paper]

ACPR:

• [2021 图推理网络]Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network[paper]

online recognizing

• [2021]Global Context for improving recognition of Online Handwritten Mathematical Expressions[paper]
• [2021]Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition[paper]
• [2021 Graph-to-Graph]Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition[paper]
• [2021]Learning Symbol Relation Tree for Online Handwritten Mathematical Expression Recognition[paper]
• [2021]A New Approach to Data Annotation Automation for Online Handwritten Mathematical Expression Recognition based on Recurrent Neural Networks[paper]
• [2021 MRD Memory Relation]MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition[paper]
• [2021]Online Handwritten Mathematical Expression Recognition and Applications: A Survey[paper]
• [2020]Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition[paper]
• [2020]Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional Context[paper]
• [2020 SRD]SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition[paper]
• [2018 TAP]Track, Attend, and Parse (TAP): An End-to-End Framework for Online Handwritten Mathematical Expression Recognition[paper]
• [2018 基于笔画的后向注意力]Stroke Based Posterior Attention for Online Handwritten Mathematical Expression Recognition[paper]
• [2017]A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition[paper]
• [2015 基于GT匹配]Matching based ground-truth annotation for online handwritten mathematical expressions[paper]
• [2008 support for matrices]Online Recognition of Handwritten Mathematical Expressions with Support for Matrices[paper]
• [2000 结构分析的有效句法方法]An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions[paper]

Notes

paper1 CAN

*《When Counting Meets HMER:Counting-Aware Network for Handwritten Mathematical Expression Recognition》[paper]

*blog:用于手写2202数学表达式识别的计数感知网络[blog]

*my own learning note of CAN[learning note]

*conceptions : [Channel Attention & spatial attention] [GRU] [position encoding] [product]

paper2 CoMER

*《CoMER: Modeling Coverage for Transformer-based Handwritten MathematicalExpression Recognition》[paper]
*blog:[ECCV 2022 CoMER] 基于Transformer与覆盖注意力机制建模的手写数学公式识别[blog]

paper3 WAP

*《Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition》[paper]

*blog:论文阅读和分析：Watch, attend and parse An end-to-end neural network based approach to HMER[blog]

*some conceptions [FCN] [upsampling] [weight noise]

paper4 WAP-TD

*《A Tree-Structured Decoder for Image-to-Markup Generation》[paper]

*blog:论文阅读和分析-A Tree-Structured Decoder for Image-to-Markup Generation[blog]

*my own learning note of CAN[[learning note]]

paper5 DWAP

*《Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition》[paper]

*contributions:①encoder:densenet ②present a novel multi-scale attention model

*conceptions [Densenet]

paper6 针对数据： scale augmentation & drop attention

*《Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop Attention》[paper]