Zobrazeno 1 - 10
of 137
pro vyhledávání: '"RepVGG"'
Autor:
Zhengyan Liu, Xu Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The effective identification of fruit tree leaf disease is of great practical significance to reduce pesticide spraying, improve fruit yield and realize ecological agriculture. Computer vision technology can be effectively identifying and pr
Externí odkaz:
https://doaj.org/article/80ab68cf5426462aa621e7869143dc6a
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 44, Iss 5, Pp 459-467 (2023)
In response to the safety concerns caused by falls and the limitations of existing object detection models in robustness, generalization and susceptibility to missing fall events, an optimized algorithm for detecting falls in the elderly population w
Externí odkaz:
https://doaj.org/article/da52753bb0aa416095e1ddac72670fcf
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1240 (2024)
Deploying deep convolutional neural networks on agricultural devices with limited resources is challenging due to their large number of parameters. Existing lightweight networks can alleviate this problem but suffer from low performance. To this end,
Externí odkaz:
https://doaj.org/article/73c6adbe9c674ff081394d21c376be13
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1549 (2024)
Carrier-free ultra-wideband sensors have high penetrability anti-jamming solid ability, which is not easily affected by the external environment, such as weather. Also, it has good performance in the complex jungle environment. In this paper, we prop
Externí odkaz:
https://doaj.org/article/d6783bf173924f98ace049202173ca83
Publikováno v:
IEEE Access, Vol 11, Pp 109179-109188 (2023)
With the continuous advancement of remote sensing technology, satellite remote sensing images have become one of the important means of obtaining information on the earth surface. But in the current research on aircraft target detection and classific
Externí odkaz:
https://doaj.org/article/0d51cf1f05824e2bb9868d62327cad7c
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionPneumonia is a common and widespread infectious disease that seriously affects the life and health of patients. Especially in recent years, the outbreak of COVID-19 has caused a sharp rise in the number of confirmed cases of epidemic spre
Externí odkaz:
https://doaj.org/article/24827ea1fb414a7eaf864380bca21329
Autor:
Heng Liang, Tingqiang Song
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Underwater object detection currently faces many challenges, such as the large number of parameters in existing object detection models, slow inference speed, blurring of underwater images, and aggregation of small targets, making it difficult to con
Externí odkaz:
https://doaj.org/article/3e05a25b12b840188938c129f782da8a
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11925 (2023)
With the rapid development of Internet technology, the number of global Internet users is rapidly increasing, and the scale of the Internet is also expanding. The huge Internet system has accelerated the spread of bad information, including bad image
Externí odkaz:
https://doaj.org/article/ddbe037c5e2e4d85aff5b520c7fcfc58
Publikováno v:
Fire, Vol 6, Iss 10, p 383 (2023)
To further improve the detection of smoke and small target smoke in complex backgrounds, a novel smoke detection model called RepVGG-YOLOv7 is proposed in this paper. Firstly, the ECA attention mechanism and SIoU loss function are applied to the YOLO
Externí odkaz:
https://doaj.org/article/b6c952e576d94757bc0f5cdde09e77ef