Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Naihong Guo"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2021 (2024)
To resolve the challenges of low detection accuracy and inadequate real-time performance in road scene detection, this article introduces the enhanced algorithm SDG-YOLOv5. The algorithm incorporates the SIoU Loss function to accurately predict the a
Externí odkaz:
https://doaj.org/article/4703e09678794edfb6398b7356735371
Publikováno v:
IEEE Access, Vol 11, Pp 121190-121201 (2023)
To address issues such as low detection accuracy and limited real-time performance in road scene detection, a novel road scene detection algorithm based on CMS-YOLO is proposed in this paper. In this algorithm, an efficient backbone called the cross-
Externí odkaz:
https://doaj.org/article/93a5499bcdbb49348181345325ab905d
Publikováno v:
IEEE Access, Vol 11, Pp 103511-103520 (2023)
Aimed at existing saliency object detection models with problems of front and back view misclassification and edge blur, this study proposes an algorithm with multi-scale feature enhancement. In this algorithm, the feature maps of salient objects are
Externí odkaz:
https://doaj.org/article/658fae80e6f54335805d7b9faaa6a146
Publikováno v:
IEEE Access, Vol 11, Pp 56973-56982 (2023)
Because the lack of semantic information exchange between characteristic layers, the SSD (Single Shot multibox Detector) algorithm has insufficient detection performance. To address this problem, a detection algorithm called VPE-SSD (Visual Path Enha
Externí odkaz:
https://doaj.org/article/6d97aba296274da7b79ef45ac90db7f9
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Bearings are the most basic and important mechanical parts. The stable and safe operation of the equipment requires bearing fault diagnosis in advance. So, bearing fault diagnosis is an important technology. However, the feature extraction quality of
Externí odkaz:
https://doaj.org/article/e70428faaa014030a4743ababf96e11e
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Using deep learning-based methods to detect surface defects in strip steel can reduce the impact of human factors and lower costs while maintaining accuracy and efficiency. However, the main disadvantages of this method is the inability to tradeoff a
Externí odkaz:
https://doaj.org/article/3753888336884490bdda36fd0747483a
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2022 (2022)
In the process of the development of image processing technology, image segmentation is a very important image processing technology in the field of machine vision, pedestrian detection, medical imaging, and so on. However, the traditional image segm
Externí odkaz:
https://doaj.org/article/aa20df3bc56743edae1a62e88280f4c7
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-13
To address the problems of less semantic information and low measurement accuracy when the SSD (single shot multibox detector) algorithm detects small targets, an MPH-SSD (multiscale pyramid hybrid SSD) algorithm that integrates the attention mechani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7632735e38dead3290113163a176a376
https://doi.org/10.1155/2022/9654930
https://doi.org/10.1155/2022/9654930
Aiming at the problems of color bias and noise enhancement on the output image by the traditional low-light image enhancement algorithm, a DMPH-Net (Deep Multiscale Pyramid Hybrid Network) algorithm that fuses attention mechanism and multiscale pyram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdd7aeeb853d3e4cbf639c9a17c53675
https://doi.org/10.21203/rs.3.rs-2946470/v1
https://doi.org/10.21203/rs.3.rs-2946470/v1
