Zobrazeno 1 - 10
of 93
pro vyhledávání: '"structural re-parameterization"'
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 5, Pp 1234-1250 (2024)
To solve the problems of localization and identification of fish in the complex fishway environment, improving the accuracy of fish detection, this paper proposes an object detection algorithm YOLORG, and a fishway fish detection dataset (FFDD). The
Externí odkaz:
https://doaj.org/article/75d00323e4ac4e21868a31eb776688ce
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 16060-16082 (2023)
The purpose of infrared and visible image fusion is to integrate the complementary information from heterogeneous images in order to enhance their detailed scene information. However, existing deep learning fusion methods suffer from an imbalance bet
Externí odkaz:
https://doaj.org/article/19484f046e104886b8e311bd60c6243d
Autor:
HU Hao, GUO Fang, LIU Zhao
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 5, Pp 1089-1101 (2023)
The existing YOLOX-S model has a low object detection average precision (AP) under the complex environmental disturbance in construction sites, which cannot well meet the needs of practical applications. In view of the above problems, the YOLOX-S mod
Externí odkaz:
https://doaj.org/article/ed6fd98c4e91484994fc33c89b79bd51
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-13 (2022)
Abstract Deep convolutional neural networks have produced excellent results when utilized for image classification tasks, and they are being applied in a growing number of contexts. Model inference on edge devices is challenging due to the unending c
Externí odkaz:
https://doaj.org/article/3d47cee1b3174504a0f888f4ff79ff15
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 917 (2024)
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network’s perfor
Externí odkaz:
https://doaj.org/article/dfd02d4aa78745fb8b626edefb8e1526
Publikováno v:
Sensors, Vol 23, Iss 23, p 9575 (2023)
Traditional Convolutional Neural Network (ConvNet, CNN)-based image super-resolution (SR) methods have lower computation costs, making them more friendly for real-world scenarios. However, they suffer from lower performance. On the contrary, Vision T
Externí odkaz:
https://doaj.org/article/972bd1ee7e06445c99f4113af46358a8
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5561 (2023)
In a hyperspectral image classification (HSIC) task, manually labeling samples requires a lot of manpower and material resources. Therefore, it is of great significance to use small samples to achieve the HSIC task. Recently, convolutional neural net
Externí odkaz:
https://doaj.org/article/6afd04207426414aa7b7abe503537ccd
Akademický článek
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Akademický článek
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Autor:
Jiongjiang Chen, Jialin Tang, Shounan Lin, Wanxin Liang, Binghua Su, Jinghui Yan, Dujuan Zhou, Lili Wang, Yunting Lai, Benxi Yang
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Ocean exploration has always been an important strategic direction for the joint efforts of all mankind. Many countries in the world today are developing their own underwater autonomous explorers to better explore the seabed. Vision, as the core tech
Externí odkaz:
https://doaj.org/article/536232250abf4f7d881a6efbfef1fad0