In this paper, we present a general version 2D Shape Equipartition Problem (2D-SEP) under minimum boundary length. The goal of this problem is to obtain a segmentation into N equal area segments (regions), where the n...
详细信息
Generating music-related notations offers assistance for musicians in the path of replicating the music using a specific instrument. In this paper, we evaluate the state-of-the-art guitar tablature transcription netwo...
详细信息
ISBN:
(纸本)9783031500688;9783031500695
Generating music-related notations offers assistance for musicians in the path of replicating the music using a specific instrument. In this paper, we evaluate the state-of-the-art guitar tablature transcription network named TabCNN against state-of-the-art computer vision networks. The evaluation is performed using the same dataset as well as the same evaluation metrics of TabCNN. Furthermore, we propose a new CNN-based network named TabInception to transcribe guitar-related notations, also called guitar tablatures. The network relies on a custom inception block converged by dense layers. The TabInception network outperforms the TabCNN in terms of multi-pitch precision (MP), tablature precision (TP), and tablature F-measure (TF). Moreover, the Swin Transformer achieves the best score in terms of multi-pitch recall (MR) and tablature recall (TR), while the Vision Transformer achieves the best score in terms of multi-pitch F-measure (MF). Motivated by the previous insights, we train the networks with more epochs and propose another network named Inception Transformer (InT) to surpass all the estimation metrics of TabCNN using a single network. The InT network relies on an inception block converged by a Transformer Encoder. The TabInception and the InT network outperformed all estimation metrics of TabCNN except the tablature disambiguation rate (TDR) when trained using a bigger epoch size.
The aim of this paper is to show that Kahan’s and Gill-Møller compensated summation algorithms that allow to achieve high accuracy of summing long sequences of floating-point numbers can be efficiently vectorize...
详细信息
Alzheimer’s disease is a neurological disorder characterized by functional and structural atrophy, leading to symptoms like memory loss and cognitive decline. This study seeks to analyze the disruptions of functional...
详细信息
The transfer learning method enables the use of a pretrained convolutional network to efficiently model a secondary domain with less data. In this article 18 public convolutional networks of different architecture and...
详细信息
We present two variants of the QAOA modification for solving constrained combinatorial problems. The results presented in this paper were obtained using the QHyper framework, which we developed specifically for this p...
详细信息
In social environments, complex interactive scenes and various tasks bring great challenges to the motion planning of autonomous ground vehicles. Application scenarios typically require vehicles to plan a smooth traje...
详细信息
Using serious games to teach project management is a logical choice, as it al-lows students to practice skills without facing real-world economic or human consequences. These games offer a realistic learning environme...
详细信息
Card-based cryptography realizes cryptographic tasks, such as secure computation, with a deck of physical cards. The primary research subjects for card-based cryptography are theoretical studies that, for example, pro...
详细信息
Threshold ring signature confirms that t signers are participating in the signature and keep them anonymous. It is a generalization of ring signature, and has many important applications such as whistleblower, e-votin...
详细信息
暂无评论