Zobrazeno 1 - 10
of 490
pro vyhledávání: '"channel pruning"'
Autor:
Henghui Mo, Linjing Wei
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102133- (2024)
In citrus cultivation, Anthracnose, Scab, and Greasy Spot significantly impact yield and quality. Facing challenges in detecting small targets against complex orchard backgrounds with uneven lighting and obstructions, existing models suffer from low
Externí odkaz:
https://doaj.org/article/49665818620b4a148a768e5a5f929a87
Autor:
Pragnesh Thaker, Biju R. Mohan
Publikováno v:
IEEE Access, Vol 12, Pp 172537-172547 (2024)
Transfer learning models tackle two critical problems in deep learning. First, for small datasets, it reduces the problem of overfitting. Second, for large datasets, it reduces the computational cost as fewer iterations are required to train the mode
Externí odkaz:
https://doaj.org/article/068852194fc44fd884860f48a6a59a85
Publikováno v:
IEEE Access, Vol 12, Pp 96138-96149 (2024)
With the improvement of urbanization and living standards, waste disposal has become an urgent environmental problem. In recent years, object detection networks based on deep learning have greatly improved classification accuracy and speed by learnin
Externí odkaz:
https://doaj.org/article/432c08f08e3843f8bfae2118e66e5036
Autor:
Pragnesh Thaker, Biju R. Mohan
Publikováno v:
IEEE Access, Vol 12, Pp 94914-94925 (2024)
This research paper delves into the challenges associated with deep learning models, specifically focusing on transfer learning. Despite the effectiveness of widely used models such as VGGNet, ResNet, and GoogLeNet, their deployment on resource-const
Externí odkaz:
https://doaj.org/article/e45c645f1caf4c91bc29eae38e469b3a
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8587 (2024)
Insulators are essential for electrical insulation and structural support in transmission lines. With the advancement of deep learning, object detection algorithms have become primary tools for detecting insulator defects. However, challenges such as
Externí odkaz:
https://doaj.org/article/c839f60f8b4747ebac6a58ec592bad9b
Autor:
Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie
Publikováno v:
Sensors, Vol 24, Iss 18, p 5910 (2024)
Aiming at the problems of a large volume, slow processing speed, and difficult deployment in the edge terminal, this paper proposes a lightweight insulator detection algorithm based on an improved SSD. Firstly, the original feature extraction network
Externí odkaz:
https://doaj.org/article/d0093d760ca749e580f2ab46b6c4385e
Publikováno v:
PeerJ Computer Science, Vol 10, p e2012 (2024)
Recently, large-scale artificial intelligence models with billions of parameters have achieved good results in experiments, but their practical deployment on edge computing platforms is often subject to many constraints because of their resource requ
Externí odkaz:
https://doaj.org/article/309bbe16767a4a7aa7e6fef106f05958
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1634-1643 (2023)
Aiming at the problems of large redundant parameters, high computational cost and slow detection speed of the anchor-free detector, a channel pruning method guided by double attention modules (CPDAM) is proposed to compress the anchor-free object det
Externí odkaz:
https://doaj.org/article/31da69dfc3ae46bc9c1ee24df46a7d62
Publikováno v:
Symmetry, Vol 16, Iss 4, p 458 (2024)
During steel manufacturing, surface defects such as scratches, scale, and oxidation can compromise product quality and safety. Detecting these defects accurately is critical for production efficiency and product integrity. However, current target det
Externí odkaz:
https://doaj.org/article/7ae3b3630dd5441ebfbe5c8818270686
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3346 (2024)
Precise and rapid detection of seatbelts is an essential research field for intelligent traffic management. In order to improve the detection precision of seatbelts and speed up algorithm inference velocity, a lightweight seatbelt detection algorithm
Externí odkaz:
https://doaj.org/article/d0173bdb9eb8464fb2e223396279b247