Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Houjin Chen"'
Multi‐scale pedestrian detection with global–local attention and multi‐scale receptive field context
Publikováno v:
IET Computer Vision, Vol 17, Iss 1, Pp 13-25 (2023)
Abstract As a basic component in the field of computer vision, the pedestrian detection plays an essential role in several real‐world applications such as video surveillance. The promising performance has been achieved in pedestrian detection relyi
Externí odkaz:
https://doaj.org/article/76daa9dee1a64290b1c5aa8d406a2265
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 1, Pp 180-192 (2023)
Abstract Semantic segmentation is a classical problem in computer vision, which is important in the field of autonomous driving. Although significant progress has been achieved in semantic segmentation, its generalization ability to unknown domains i
Externí odkaz:
https://doaj.org/article/677f665fc4a74113b34b8d906bbdc6a1
Autor:
Weihua Qian, Hang Xu, Houjin Chen, Lvqing Yang, Yuanguo Lin, Rui Xu, Mulan Yang, Minghong Liao
Publikováno v:
Mathematics, Vol 12, Iss 2, p 175 (2024)
The multi-objective evolutionary algorithm optimization (MOEA) is a challenging but critical approach for tackling complex data analysis problems. However, prevailing MOEAs often rely on single strategies to obtain optimal solutions, leading to conce
Externí odkaz:
https://doaj.org/article/48688ba796c54b9e83fbf8d56b78de58
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2022, Iss 1, Pp 1-18 (2022)
Abstract This study proposes a novel network model for video action tube detection. This model is based on a location-interactive weakly supervised spatial–temporal attention mechanism driven by multiple loss functions. It is especially costly and
Externí odkaz:
https://doaj.org/article/8364691a0b594358a064ef2b8d10c41b
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 6, Pp 837-849 (2021)
Abstract Pedestrian detection is a classic problem in computer vision, which has an essential impact on the safety of urban autonomous driving. Although significant improvement has been made in pedestrian detection recently, small‐scale pedestrian
Externí odkaz:
https://doaj.org/article/a3c2702d21694c008d477521df21ad30
Publikováno v:
IEEE Access, Vol 7, Pp 15478-15488 (2019)
Pedestrian detection is a valuable and challenging problem in computer vision. To fully exploit the interframe information to improve the detector's performance, many frameworks with high complexity for offline detection have been proposed. These met
Externí odkaz:
https://doaj.org/article/c75107fe739d4f0f93b160eeaa9d5538
Publikováno v:
IEEE Access, Vol 7, Pp 37822-37832 (2019)
Early detection of lung cancer is crucial in reducing mortality. Magnetic resonance imaging (MRI) may be a viable imaging technique for lung cancer detection. Numerous lung nodule detection methods have been studied for computed tomography (CT) image
Externí odkaz:
https://doaj.org/article/7a2af0f42d9143aaa1a7b4d9ba5edbbe
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Multi‐scale pedestrian detection with global–local attention and multi‐scale receptive field context
Publikováno v:
IET Computer Vision. 17:13-25
Publikováno v:
IET Intelligent Transport Systems. 17:180-192