Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Guanlin Lu"'
Publikováno v:
Algorithms, Vol 17, Iss 10, p 426 (2024)
This article proposes a weakly supervised multi-feature fusion pedestrian re-identification method, which introduces a multi-feature fusion mechanism to extract feature information from different layers into the same feature space and fuse them into
Externí odkaz:
https://doaj.org/article/5627d5587baf4cc8aec8d2aaf8a79b60
Publikováno v:
IEEE Access, Vol 10, Pp 75971-75985 (2022)
Detecting objects in aerial images is a challenging task due to the large-scale variations and arbitrary orientations with tiny instances. A new multi-scale transformer-based aerial objects detector called MStrans is proposed in this paper to deal wi
Externí odkaz:
https://doaj.org/article/171da952524443f7bc0d1b79f71af10e
Publikováno v:
IEEE Access, Vol 10, Pp 100526-100539 (2022)
Object detection in remote sensing imagery is a challenging task in the field of computer vision and has high research value. To improve the classification accuracy and positioning accuracy of object detection, we propose a new multi-scale oriented o
Externí odkaz:
https://doaj.org/article/555120fccbe84cc68f968ea55ed2e5d8
Publikováno v:
IEEE Access, Vol 10, Pp 8021-8035 (2022)
The remote sensing images in large scenes have a complex background, and the types, sizes, and postures of the targets are different, making object detection in remote sensing images difficult. To solve this problem, an end-to-end multi-size object d
Externí odkaz:
https://doaj.org/article/8d4244b798004e7a9d3209ca6211ca7b
MSCNet: A Framework With a Texture Enhancement Mechanism and Feature Aggregation for Crack Detection
Publikováno v:
IEEE Access, Vol 10, Pp 26127-26139 (2022)
Bridge crack is one of the critical optical and visual information to judge the health state of bridges. The bridge crack detection methods based on artificial intelligence are essential in this field, but the current approaches are not satisfactory
Externí odkaz:
https://doaj.org/article/120ff6c736f6432987a84f06473daca3
Publikováno v:
IEEE Access, Vol 10, Pp 53797-53809 (2022)
Multispectral pedestrian detection based on deep learning can provide a robust and accurate detection under different illumination conditions, which has important research significance in safety. In order to reduce the log-average miss rate of the ob
Externí odkaz:
https://doaj.org/article/3dba799acf5748b282840c3ee02ce35a
Publikováno v:
IEEE Access, Vol 9, Pp 93209-93223 (2021)
Bridge crack detection is essential to ensure bridge safety. The introduction of deep learning technology has made it possible to detect bridge cracks automatically and accurately. In this study, the Inception-Resnet-v2 algorithm was systematically i
Externí odkaz:
https://doaj.org/article/d4341efef9784430bfc8ab41746f6f20
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0275538 (2022)
Owing to the development of computerized vision technology, object detection based on convolutional neural networks is being widely used in the field of bridge crack detection. However, these networks have limited utility in bridge crack detection be
Externí odkaz:
https://doaj.org/article/f06d84d4be104e1ba5b0cad0cca19a54
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272666 (2022)
With the exploration and development of marine resources, deep learning is more and more widely used in underwater image processing. However, the quality of the original underwater images is so low that traditional semantic segmentation methods obtai
Externí odkaz:
https://doaj.org/article/c234792a9be04f03a177fc4c2a12dd91
Publikováno v:
Drones, Vol 6, Iss 10, p 292 (2022)
To solve the problem of low detection accuracy of small objects in UAV optical remote sensing images due to low contrast, dense distribution, and weak features, this paper proposes a small object detection method based on feature alignment of candida
Externí odkaz:
https://doaj.org/article/cb15a7dc9e2b4eb69b592fb64c8bc500