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20 papers · 1 filter
Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge +2
Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music remains underexplored. This paper first presents the new SheetSage-A2…
A Catalog of Giant Radio Source Candidates from TGSS ADR1 Using a Deep Learning--based Pipeline
Baoqiang Lao, Binghua Liang, Shaoguang Guo +4
We present a catalog of 5,595 giant radio source (GRS) candidates, defined by a largest (projected) linear size (LLS) exceeding 0.7 Mpc. Of these, 4,566 would be new discoveries if…
Bayesian Inference of fine-features of dense matter EOS from future high-precision data of neutron star radii
Bao-An Li, Xavier Grundler, Wen-Jie Xie +1
Future high-precision X-ray and gravitational wave observatories are expected to measure the radii of neutron stars (NSs) with an accuracy better than about 0.1 km. However, it rem…
Constraining tensor force terms with the charge radii difference of mirror-pair nuclei
Yan Ya, Na Tang, Rong An
Charge radii differences of mirror partner nuclei provide an alternative probe to pin down the interaction components in asymmetric nuclear matter. In this work, the differences in…
In search for signals of the bound state from study of the , and reactions
Xiu-Lei Ren, Hai-Peng Li, Wei-Hong Liang +2
We perform a theoretical study of the , and reactions by looking at the production mechanisms, with special emphasis…
A cross-modal network for facial expression recognition
Chunwei Tian, Jingyuan Xie, Qi Zhang +3
Deep neural networks enriched with structural information have been widely employed for facial expression recognition tasks. However, these methods often depend on hierarchical inf…