Understanding optical music recognition
For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …
Optical music recognition: State of the art and major challenges
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-
readable format. The transcribed copy should allow musicians to compose, play and edit …
readable format. The transcribed copy should allow musicians to compose, play and edit …
Deep learning for symbols detection and classification in engineering drawings
Engineering drawings are commonly used in different industries such as Oil and Gas,
construction, and other types of engineering. Digitising these drawings is becoming …
construction, and other types of engineering. Digitising these drawings is becoming …
From optical music recognition to handwritten music recognition: a baseline
Abstract Optical Music Recognition (OMR) is the branch of document image analysis that
aims to convert images of musical scores into a computer-readable format. Despite decades …
aims to convert images of musical scores into a computer-readable format. Despite decades …
[HTML][HTML] Extraction of dimension requirements from engineering drawings for supporting quality control in production processes
Engineering drawings accompany a workpiece throughout its production process and
include information about the dimensions and tolerances as well as the associated …
include information about the dimensions and tolerances as well as the associated …
A baseline for general music object detection with deep learning
Deep learning is bringing breakthroughs to many computer vision subfields including
Optical Music Recognition (OMR), which has seen a series of improvements to musical …
Optical Music Recognition (OMR), which has seen a series of improvements to musical …
[PDF][PDF] Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores.
J Calvo-Zaragoza, D Rizo - ISMIR, 2018 - academia.edu
The optical music recognition (OMR) field studies how to automate the process of reading
the musical notation present in a given image. Among its many uses, an interesting scenario …
the musical notation present in a given image. Among its many uses, an interesting scenario …
Object detection in floor plan images
In this work we investigate the use of deep neural networks for object detection in floor plan
images. Object detection is important for understanding floor plans and is a preliminary step …
images. Object detection is important for understanding floor plans and is a preliminary step …
Assessment of layer pullet drinking behaviors under selectable light colors using convolutional neural network
Light colors are important for poultry production performance, behavior, and well-being.
However, drinking pereferences of layer pullets under light colors that can provide insights …
However, drinking pereferences of layer pullets under light colors that can provide insights …
Handwritten historical music recognition by sequence-to-sequence with attention mechanism
Despite decades of research in Optical Music Recognition (OMR), the recognition of old
handwritten music scores remains a challenge because of the variabilities in the handwriting …
handwritten music scores remains a challenge because of the variabilities in the handwriting …