A comprehensive survey on object detection in Visual Art: taxonomy and challenge
Cultural heritage data plays a key role in the understanding of past human history and
culture, enriches the present and prepares the future. A wealth of information is buried in …
culture, enriches the present and prepares the future. A wealth of information is buried in …
Knowledge graph embedding-based domain adaptation for musical instrument recognition
Convolutional neural networks raised the bar for machine learning and artificial intelligence
applications, mainly due to the abundance of data and computations. However, there is not …
applications, mainly due to the abundance of data and computations. However, there is not …
Few-shot object detection: Application to medieval musicological studies
Detecting objects with a small representation in images is a challenging task, especially
when the style of the images is very different from recent photos, which is the case for …
when the style of the images is very different from recent photos, which is the case for …
Lute acoustic quality evaluation and note recognition based on the softmax regression BP neural network
L Liu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Note recognition technology has very important applications in instrument tuning, automatic
computer music recognition, music database retrieval, and electronic music synthesis. This …
computer music recognition, music database retrieval, and electronic music synthesis. This …
Cross-location activity recognition using adversarial learning
Human activity recognition (HAR) is an emerging field of study to recognize human
movement and actions from recorded data. It plays a significant role in human-computer …
movement and actions from recorded data. It plays a significant role in human-computer …
Auxiliary learning & Adversarial training for Medieval Manuscript Studies
IEI Bekkouch - 2024 - theses.hal.science
This thesis is at the intersection of musicology and artificial intelligence, aiming to leverage
AI to help musicologists with repetitive work, such as object searching in the museum's …
AI to help musicologists with repetitive work, such as object searching in the museum's …
What augmentations are sensitive to hyper-parameters and why?
We apply augmentations to our dataset to enhance the quality of our predictions and make
our final models more resilient to noisy data and domain drifts. Yet the question remains …
our final models more resilient to noisy data and domain drifts. Yet the question remains …
What Augmentations are Sensitive to Hyper-Parameters and Why?
AM Khan - Intelligent Computing: Proceedings of the 2022 …, 2022 - books.google.com
We apply augmentations to our dataset to enhance the quality of our predictions and make
our final models more resilient to noisy data and domain drifts. Yet the question remains …
our final models more resilient to noisy data and domain drifts. Yet the question remains …