A unified representation framework for the evaluation of Optical Music Recognition systems
Abstract Modern-day Optical Music Recognition (OMR) is a fairly fragmented field. Most
OMR approaches use datasets that are independent and incompatible between each other …
OMR approaches use datasets that are independent and incompatible between each other …
The Dynamic Net Architecture: Learning Robust and Holistic Visual Representations Through Self-Organizing Networks
We present a novel intelligent-system architecture called" Dynamic Net Architecture"(DNA)
that relies on recurrence-stabilized networks and discuss it in application to vision. Our …
that relies on recurrence-stabilized networks and discuss it in application to vision. Our …
The Common Optical Music Recognition Evaluation Framework
The quality of Optical Music Recognition (OMR) systems is a rather difficult magnitude to
measure. There is no lingua franca shared among OMR datasets that allows to compare …
measure. There is no lingua franca shared among OMR datasets that allows to compare …
An Online Tool for Semi-Automatically Annotating Music Scores for Optical Music Recognition
S Graczyk, Z Piniarska, M Kałamoniak… - Proceedings of the 11th …, 2024 - dl.acm.org
The paper describes an online tool, OMRAT, for semi-automatic annotation of music scores
for Optical Music Recognition (OMR) systems. OMRAT uses deep neural networks, machine …
for Optical Music Recognition (OMR) systems. OMRAT uses deep neural networks, machine …
[PDF][PDF] The Practical Impact of Data-Centrism on the Example of Autonomous Driving
R Emberger - zhaw.ch
Data centrism is a relatively young methodology in deep learning and is thus sometimes
misunderstood. Both research and industry seem to use the term liberally, furthering …
misunderstood. Both research and industry seem to use the term liberally, furthering …