Zobrazeno 1 - 10
of 8 295
pro vyhledávání: '"multi-level feature"'
We propose a novel teacher-student framework to distill knowledge from multiple teachers trained on distinct datasets. Each teacher is first trained from scratch on its own dataset. Then, the teachers are combined into a joint architecture, which fus
Externí odkaz:
http://arxiv.org/abs/2410.22184
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Analysis of heart sound signals plays an essential role in preventing and diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm based on frequency-balanced power spectral intensity for heart sound signal c
Externí odkaz:
https://doaj.org/article/d68f3c28a8864f8688252ec0b93ce117
Voice disorders negatively impact the quality of daily life in various ways. However, accurately recognizing the category of pathological features from raw audio remains a considerable challenge due to the limited dataset. A promising method to handl
Externí odkaz:
http://arxiv.org/abs/2410.04797
Transformers have captured growing attention in computer vision, thanks to its large capacity and global processing capabilities. However, transformers are data hungry, and their ability to generalize is constrained compared to Convolutional Neural N
Externí odkaz:
http://arxiv.org/abs/2407.06673
In visual tasks, large teacher models capture essential features and deep information, enhancing performance. However, distilling this information into smaller student models often leads to performance loss due to structural differences and capacity
Externí odkaz:
http://arxiv.org/abs/2405.08547
Stereo image super-resolution utilizes the cross-view complementary information brought by the disparity effect of left and right perspective images to reconstruct higher-quality images. Cascading feature extraction modules and cross-view feature int
Externí odkaz:
http://arxiv.org/abs/2405.05497
Autor:
Xinjie Zhu
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1463-1471 (2024)
In multimedia pattern recognition, particularly in English education, the sharing of local features between classes and their varying classification reliability are often overlooked in existing methods, which diminishes feature discrimination and co
Externí odkaz:
https://doaj.org/article/fdd7a9e4486744cfbf5a7956c678569f
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