Zobrazeno 1 - 10
of 1 106
pro vyhledávání: '"Wang Jinjun"'
Publikováno v:
电力工程技术, Vol 41, Iss 1, Pp 213-218 (2022)
The operation mode and heat storage time of concentrating solar power (CSP) have a profound impact on the benefits of CSP in power system. It has an important impact on the development of CSP by the reasonable evaluation on the benefits. An equivalen
Externí odkaz:
https://doaj.org/article/46216b91783e4ea3b23c90840c73603d
Autor:
Liu, Yuhan, Huang, Qianxin, Hui, Siqi, Fu, Jingwen, Zhou, Sanping, Wu, Kangyi, Li, Pengna, Wang, Jinjun
Homography estimation is the task of determining the transformation from an image pair. Our approach focuses on employing detector-free feature matching methods to address this issue. Previous work has underscored the importance of incorporating sema
Externí odkaz:
http://arxiv.org/abs/2407.13284
Autor:
Huang Jinyi, Wang Jinjun
Publikováno v:
Journal of World Languages, Vol 7, Iss 1, Pp 124-155 (2021)
Since the beginning of the COVID-19 pandemic outbreak, medical texts on the pandemic have enjoyed wide popularity, and one of the key issues has always been the accuracy and dependability of the information they contain. The use of evidentiality, a l
Externí odkaz:
https://doaj.org/article/764e02d5b62b44168f8ce83ab32a0811
Unsupervised person re-identification aims to retrieve images of a specified person without identity labels. Many recent unsupervised Re-ID approaches adopt clustering-based methods to measure cross-camera feature similarity to roughly divide images
Externí odkaz:
http://arxiv.org/abs/2403.16450
Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which aims to locate targets and maintain a consistent identity for each target throughout a video sequence. Existing works usually learn a discriminative feature re
Externí odkaz:
http://arxiv.org/abs/2311.10382
Despite the success of two-stage few-shot classification methods, in the episodic meta-training stage, the model suffers severe overfitting. We hypothesize that it is caused by over-discrimination, i.e., the model learns to over-rely on the superfici
Externí odkaz:
http://arxiv.org/abs/2306.16873
Autor:
Chen, Long, Teng, Siyu, Li, Bai, Na, Xiaoxiang, Li, Yuchen, Li, Zixuan, Wang, Jinjun, Cao, Dongpu, Zheng, Nanning, Wang, Fei-Yue
Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys have captured progress in this field, a comprehensive and forward-loo
Externí odkaz:
http://arxiv.org/abs/2306.01980
Publikováno v:
ACM Multimedia 2022
Benefiting from powerful convolutional neural networks (CNNs), learning-based image inpainting methods have made significant breakthroughs over the years. However, some nature of CNNs (e.g. local prior, spatially shared parameters) limit the performa
Externí odkaz:
http://arxiv.org/abs/2305.07239