Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Jifeng Shen"'
Publikováno v:
IEEE Access, Vol 12, Pp 114212-114226 (2024)
Object detection in Unmanned Aerial Vehicle (UAVs) faces a significant challenge in computer vision. Traditional methods are difficult to model object appearance feature with large scale variations and viewpoint differences, when drones fly at differ
Externí odkaz:
https://doaj.org/article/484e9c245bc844718a583cfac32b8246
Publikováno v:
IET Computer Vision, Vol 17, Iss 7, Pp 726-738 (2023)
Abstract High quality feature fusion module is one of the key components for multispectral pedestrian detection system in challenging situations, such as large‐scale variance and occlusion. Although attention mechanism is one of the most effective
Externí odkaz:
https://doaj.org/article/bce6634949004dfe9bc8371ea5c79e18
Publikováno v:
智能科学与技术学报, Vol 3, Pp 294-303 (2021)
Multispectral pedestrian detection system suffers with low feature fusion quality, high quantity of model hyper-parameters and complex anchor matching algorithm.To deal with these problems, an anchor free multispectral pedestrian detection algorithm
Externí odkaz:
https://doaj.org/article/7dbef850a71140019e25412e092fc363
Publikováno v:
IEEE Access, Vol 9, Pp 95517-95527 (2021)
Apple diseases cause a lot of economic losses to fruit growers in China. Early diagnosis and accurate recognition of apple diseases can control the spread of disease and reduce production costs. However, the significance of disease characteristic of
Externí odkaz:
https://doaj.org/article/e862a8764e56427e9ea9484cae47093f
Publikováno v:
IET Computer Vision, Vol 14, Iss 7, Pp 538-545 (2020)
Conventional AlexNet has the problems of slow training speed, single characteristic scale and low recognition accuracy. To solve these problems, a convolutional neural network identification model based on Inception module and dilated convolution is
Externí odkaz:
https://doaj.org/article/92155b4c3bdd439789a459d4a5c395c1
Publikováno v:
Agriculture, Vol 12, Iss 9, p 1499 (2022)
Combining disease categories and crop species leads to complex intra-class and inter-class differences. Significant intra-class difference and subtle inter-class difference pose a great challenge to high-precision crop disease classification tasks. T
Externí odkaz:
https://doaj.org/article/3c8142bbdea0422c8891975bdbbce53f
Publikováno v:
Agriculture, Vol 12, Iss 8, p 1083 (2022)
The yield and security of grain are seriously infringed on by crop diseases, which are the critical factor hindering the green and high-quality development of agriculture. The existing crop disease identification models make it difficult to focus on
Externí odkaz:
https://doaj.org/article/6cc4a3e6bec54e5daa765c647f868081
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9202 (2021)
In this paper, a shallow–deep feature fusion (SDFF) method is developed for pedestrian detection. Firstly, we propose a shallow feature-based method under the ACF framework of pedestrian detection. More precisely, improved Haar-like templates with
Externí odkaz:
https://doaj.org/article/066cc68f2c844bf5bde92ad9f3a6e083
Publikováno v:
Agriculture, Vol 8, Iss 12, p 196 (2018)
In the current natural environment, due to the complexity of the background and the high similarity of the color between immature green tomatoes and the plant, the occlusion of the key organs (flower and fruit) by the leaves and stems will lead to lo
Externí odkaz:
https://doaj.org/article/ea4ef6de872f4ef989ebb6bfd3e11b54
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 April 2019 212:215-221