Handwritten Mathmatical Expression Recognition
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Benchmarks
Most implemented
Multi-Scale Dense Networks for Resource Efficient Image Classification
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition
Syntax-Aware Network for Handwritten Mathematical Expression Recognition
Papers
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Handwritten Mathematical Expression Recognition (HMER) remains a persistent challenge in Optical Character Recognition (OCR) due to the inherent freedom of symbol layout and variability in handwriting styles. Prior metho…
Handwritten Mathmatical Expression RecognitionLanguage ModelingLanguage ModellingOptical Character Recognition+2TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition
Handwritten Mathematical Expression Recognition (HMER) has extensive applications in automated grading and office automation. However, existing sequence-based decoding methods, which directly predict $\LaTeX$ sequences, …
Handwritten Mathmatical Expression RecognitionPredictionNAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition
Recently, Handwritten Mathematical Expression Recognition (HMER) has gained considerable attention in pattern recognition for its diverse applications in document understanding. Current methods typically approach HMER as…
Decoderdocument understandingHandwritten Mathmatical Expression RecognitionPosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
Handwritten Mathematical Expression Recognition (HMER) has wide applications in human-machine interaction scenarios, such as digitized education and automated offices. Recently, sequence-based models with encoder-decoder…
DecoderHandwritten Mathmatical Expression RecognitionPositionRepresentation LearningICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition
Significant progress has been made in the field of handwritten mathematical expression recognition, while existing encoder-decoder methods are usually difficult to model global information in $LaTeX$. Therefore, this pap…
DecoderHandwritten Mathmatical Expression RecognitionWhen Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
Recently, most handwritten mathematical expression recognition (HMER) methods adopt the encoder-decoder networks, which directly predict the markup sequences from formula images with the attention mechanism. However, suc…
DecoderHandwritten Mathmatical Expression RecognitionOptical Character Recognition (OCR)