Zobrazeno 1 - 10
of 3 814
pro vyhledávání: '"channel attention"'
Publikováno v:
工程科学学报, Vol 46, Iss 10, Pp 1856-1863 (2024)
The channel attention mechanism can effectively make use of different feature channels. By weighting and adjusting the channels of feature graphs, convolutional neural networks can pay more attention to important feature channels, thus improving thei
Externí odkaz:
https://doaj.org/article/3947b33d5ff74f8895e278431defc07b
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 652-668.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-03-2023-0071
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract This study introduces a novel Blind Image Quality Assessment (BIQA) approach leveraging a multi-stream spatial and channel attention model. Our method addresses challenges posed by diverse image content and distortions by integrating feature
Externí odkaz:
https://doaj.org/article/eb7e1319b95648a69a79b4838dbb79a4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Improving wind power generation efficiency and lowering maintenance and operational costs are possible through the early and efficient diagnosis and repair of surface defects in wind turbines. To solve the lightweight deployment difficulty a
Externí odkaz:
https://doaj.org/article/0336c0d028da4c15b7634fe539b5f164
Autor:
Xin Wang, Guimin Jiang, Jue Hu, Stefano Sfarra, Miranda Mostacci, Dimitrios Kouis, Dazhi Yang, Henrique Fernandes, Nicolas P. Avdelidis, Xavier Maldague, Yonggang Gai, Hai Zhang
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract In recent years, the preservation and conservation of ancient cultural heritage necessitate the advancement of sophisticated non-destructive testing methodologies to minimize potential damage to artworks. Therefore, this study aims to develo
Externí odkaz:
https://doaj.org/article/d5d2e07fa79a4eaea7bea362a433acec
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-14 (2024)
Abstract Kolkata, renowned as the City of Joy, boasts a rich tapestry of cultural heritage spanning centuries. Despite the significance of its architectural marvels, accessing comprehensive visual documentation of Kolkata's heritage sites remains a c
Externí odkaz:
https://doaj.org/article/af0b87096f6b497aa09965b4d7dbfe61
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract Gait phase prediction is important in controlling assistive robotic devices such as exoskeletons, where the control unit must differentiate between gait phases to provide the necessary assistance when the user is wearing the exoskeleton. To
Externí odkaz:
https://doaj.org/article/0e7085a1f6cc4726b430a2b84f34d970
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 6, Pp 61-69 (2024)
The existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices. There are errors and omissions in detecting foreign objects of different sizes and small objects. In ord
Externí odkaz:
https://doaj.org/article/82c3428a8b004e7e83b6a3f04da7c71e
Autor:
Qinghua Su, Jianhong Mu
Publikováno v:
Automation, Vol 5, Iss 2, Pp 176-189 (2024)
The field of object detection has widespread applicability in many areas. Despite the multitude of object detection methods that are already established, complex scenes with occlusions still prove challenging due to the loss of information and dynami
Externí odkaz:
https://doaj.org/article/3445e7045c8b4da290b8e5680e1503d5
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 11, Pp n/a-n/a (2024)
Deep learning (DL) has been very successful for classifying images, detecting targets, and segmenting regions in high‐resolution images such as whole slide histopathology images. However, analysis of such high‐resolution images requires very high
Externí odkaz:
https://doaj.org/article/8f3507b956df42c3a277f60700843a03