Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Lan, Meng"'
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 8, Pp 1202-1205 (2024)
Objective To compare the efficacy of ultrasound-guided femoral nerve block and oral celecoxib for preoperative analgesia in elderly patients with hip fractures. Methods Sixty-eight elderly patients with hip fracture surgery treated at the 908th Hospi
Externí odkaz:
https://doaj.org/article/2ec8e05c5a4c42e9b082071d0f9f8b27
Referring video object segmentation (RVOS) aims to segment the target object in a video sequence described by a language expression. Typical multimodal Transformer based RVOS approaches process video sequence in a frame-independent manner to reduce t
Externí odkaz:
http://arxiv.org/abs/2307.00536
Recently, the joint learning framework (JOINT) integrates matching based transductive reasoning and online inductive learning to achieve accurate and robust semi-supervised video object segmentation (SVOS). However, using the mask embedding as the la
Externí odkaz:
http://arxiv.org/abs/2212.02112
Publikováno v:
In Journal of Colloid And Interface Science October 2024 671:790-799
Publikováno v:
In Placenta 26 September 2024 155:78-87
Publikováno v:
In Pattern Recognition September 2024 153
Publikováno v:
In Journal of Loss Prevention in the Process Industries August 2024 90
Semi-supervised video object segmentation (VOS) refers to segmenting the target object in remaining frames given its annotation in the first frame, which has been actively studied in recent years. The key challenge lies in finding effective ways to e
Externí odkaz:
http://arxiv.org/abs/2112.13983
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2819 (2024)
The problems of uneven load and low operating efficiency in the oil-gathering system of old oilfields lead to higher operating costs. In order to reduce operating costs, the layout-reconfiguration optimization model is established, and the minimum co
Externí odkaz:
https://doaj.org/article/6d1108f166004fcd9ff5b345727d443e
Road segmentation from remote sensing images is a challenging task with wide ranges of application potentials. Deep neural networks have advanced this field by leveraging the power of large-scale labeled data, which, however, are extremely expensive
Externí odkaz:
http://arxiv.org/abs/2108.12611