mlsanityData to 7 Oct 2026

A Unified Representation Framework for the Evaluation of Optical Music Recognition Systems

arXiv 2312.12908 ↗First posted 20 Dec 2023cs.CVcited by 7

Not on the map. Why?

Abstract (arXiv)

Modern-day Optical Music Recognition (OMR) is a fairly fragmented field. Most OMR approaches use datasets that are independent and incompatible between each other, making it difficult to both combine them and compare recognition systems built upon them. In this paper we identify the need of a common music representation language and propose the Music Tree Notation (MTN) format, with the idea to construct a common endpoint for OMR research that allows coordination, reuse of technology and fair evaluation of community efforts. This format represents music as a set of primitives that group together into higher-abstraction nodes, a compromise between the expression of fully graph-based and sequential notation formats. We have also developed a specific set of OMR metrics and a typeset score dataset as a proof of concept of this idea.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 7 of its 60 references that are in the map. First posted on arXiv 20 Dec 2023.

Builds on

7 of 60 references.

References · 7

  1. 2019Understanding Optical Music Recognitioncited by 37
  2. 2018Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognitioncited by 36
  3. 2020The 1st Tiny Object Detection Challenge:Methods and Resultscited by 14
  4. 2018DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objectscited by 13
  5. 2021DoReMi: First glance at a universal OMR datasetcited by 10
  6. 2021An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognitioncited by 8
  7. 2021Listen to Your Favorite Melodies with img2Mxml, Producing MusicXML from Sheet Music Image by Measure-based Multimodal Deep Learning-driven Assemblycited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 3.

7 papers.

  1. 2024Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcriptioncited by 20
  2. 2025MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Modelscited by 4
  3. 2024Toward a More Complete OMR Solutioncited by 3
  4. 2026Optical Music Recognition for Real-World Manuscripts with Synthetic Datacited by 1
  5. 2025GAN-based Content-Conditioned Generation of Handwritten Musical Symbolscited by 0
  6. 2026From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMRcited by 0
  7. 2026A Dataset for the Recognition of Historical and Handwritten Music Scores in Western Notationcited by 0