Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Dengdi An"'
Medical images from different healthcare centers exhibit varied data distributions, posing significant challenges for adapting lung nodule detection due to the domain shift between training and application phases. Traditional unsupervised domain adap
Externí odkaz:
http://arxiv.org/abs/2407.19397
Recently, large-scale visual language pre-trained (VLP) models have demonstrated impressive performance across various downstream tasks. Motivated by these advancements, pioneering efforts have emerged in multi-label image recognition with missing la
Externí odkaz:
http://arxiv.org/abs/2407.18520
Many RGBT tracking researches primarily focus on modal fusion design, while overlooking the effective handling of target appearance changes. While some approaches have introduced historical frames or fuse and replace initial templates to incorporate
Externí odkaz:
http://arxiv.org/abs/2401.01674
Publikováno v:
Plant Protection Science, Vol 53, Iss 1, Pp 32-43 (2017)
Sixty-two endophytic bacteria from the leaves, roots, and stems of healthy Lepidium perfoliatum L. were isolated and characterised. From the results, 89, 87, 90, and 97% isolates could tolerate 12% NaCl, 30% PEG 6000, 50°C and pH 10, respectively. 7
Externí odkaz:
https://doaj.org/article/87a10581109343e09a509616b84b7192
Extracting image semantics effectively and assigning corresponding labels to multiple objects or attributes for natural images is challenging due to the complex scene contents and confusing label dependencies. Recent works have focused on modeling la
Externí odkaz:
http://arxiv.org/abs/2307.09715
Autor:
Rao, Ruotong, Huang, Xiaoyu, Wang, Xinting, Li, Xuelong, Liao, Huiping, Abuduwaili, Nigara, Wei, Xiuzhen, Li, Dengdi, Huang, Gengqing
Publikováno v:
In Gene 20 August 2024 920
Publikováno v:
IET Image Processing, Vol 18, Iss 1, Pp 77-87 (2024)
Abstract Traditional convolution neural networks (CNN) have achieved good performance in multi‐organ segmentation of medical images. Due to the lack of ability to model long‐range dependencies and correlations between image pixels, CNN usually ig
Externí odkaz:
https://doaj.org/article/6f51aa2ab9d546d588d426dedd9f40e0
Publikováno v:
In Heart, Lung and Circulation February 2024 33(2):240-250
RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential for both the training of deep RGBT trackers and the comprehensive evalua
Externí odkaz:
http://arxiv.org/abs/2104.13202
Autor:
Dong, Changxu, Sun, Dengdi
Publikováno v:
In Computer Methods and Programs in Biomedicine January 2024 243