Handwritten Mathmatical Expression Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Multi-Scale Dense Networks for Resource Efficient Image Classification
  29 Mar 2017 7 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper we investigate image classification with computational resource limits at test time.
• When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
  23 Jul 2022 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  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.
• CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition
  10 Jul 2022 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this paper, we propose CoMER, a model that adopts the coverage information in the transformer decoder.
• Syntax-Aware Network for Handwritten Mathematical Expression Recognition
  3 Mar 2022 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this paper, we propose a simple and efficient method for HMER, which is the first to incorporate syntax information into an encoder-decoder network.
• Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
  6 May 2021 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently.
• Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
  5 Jan 2018 2 repositories listed
  Handwritten mathematical expression recognition is a challenging problem due to the complicated two-dimensional structures, ambiguous handwriting input and variant scales of handwritten math symbols.
• Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
  29 May 2025 1 repository listed Syntology ran 7 of 7 samples · 0 unverified
  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.
• TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition
  16 Aug 2024 1 repository listed Syntology ran 4 of 7 samples · 3 unverified · 7 pointer-only (licence)
  TAMER combines the advantages of both sequence decoding and tree decoding models by jointly optimizing sequence prediction and tree structure prediction tasks, which enhances the model's understanding and generalization…
• PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
  10 Jul 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverified · 9 pointer-only (licence)
  To overcome this challenge, we propose a position forest transformer (PosFormer) for HMER, which jointly optimizes two tasks: expression recognition and position recognition, to explicitly enable position-aware symbol…
• ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition
  15 May 2024 1 repository listed
  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.
• Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning
  7 Dec 2021 1 repository listed
  Handwritten mathematical expression recognition aims to automatically generate LaTeX sequences from given images.
• A Tree-Structured Decoder for Image-to-Markup Generation
  1 Jan 2020 1 repository listed
  Recent encoder-decoder approaches typically employ string decoders to convert images into serialized strings for image-to-markup.
• Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition
  1 Jul 2017 1 repository listed
  We employ a convolutional neural network encoder that takes HME images as input as the watcher and employ a recurrent neural network decoder equipped with an attention mechanism as the parser to generate LaTeX sequences.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.