Zobrazeno 1 - 10
of 3 179
pro vyhledávání: '"Dazhen"'
The immense popularity of racket sports has fueled substantial demand in tactical analysis with broadcast videos. However, existing manual methods require laborious annotation, and recent attempts leveraging video perception models are limited to low
Externí odkaz:
http://arxiv.org/abs/2402.15952
The use of natural language interfaces (NLIs) for the creation of charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this approach is to accurately capture user intents and transfor
Externí odkaz:
http://arxiv.org/abs/2311.01920
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The estimation of mechanical and physical properties of coal reservoirs is important for the successful exploration and development of coalbed methane (CBM). Unlike conventional sandstone reservoirs, coal reservoirs exhibit greater sensitivi
Externí odkaz:
https://doaj.org/article/292bf8fad4854bf9b6b2b6a9acea75a6
Publikováno v:
ACS Omega, Vol 9, Iss 45, Pp 45421-45436 (2024)
Externí odkaz:
https://doaj.org/article/ac20d714f1024d818249bbe23dd81a2a
Autor:
Li, Song1,2 (AUTHOR), Tang, Dazhen1,2 (AUTHOR), Feng, Peng1,2 (AUTHOR) fengpeng@email.cugb.edu.cn, Chang, Chuang1,2 (AUTHOR), Wang, Junjian3 (AUTHOR)
Publikováno v:
Scientific Reports. 11/14/2024, Vol. 12 Issue 1, p1-15. 15p.
The goal of fine-grained image description generation techniques is to learn detailed information from images and simulate human-like descriptions that provide coherent and comprehensive textual details about the image content. Currently, most of the
Externí odkaz:
http://arxiv.org/abs/2311.12799
The vulnerability of Convolutional Neural Networks (CNNs) to adversarial samples has recently garnered significant attention in the machine learning community. Furthermore, recent studies have unveiled the existence of universal adversarial perturbat
Externí odkaz:
http://arxiv.org/abs/2306.11261
Recent research has shown that Deep Neural Networks (DNNs) are highly vulnerable to adversarial samples, which are highly transferable and can be used to attack other unknown black-box models. To improve the transferability of adversarial samples, se
Externí odkaz:
http://arxiv.org/abs/2305.01361
Autor:
Dazhen Jiang, Jin Peng, Hui Xu, Dajiang Wang, Conghua Xie, Xiaoyong Wang, Fuxiang Zhou, Hui Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Stereotactic radiation therapy (SBRT) has emerged as a promising treatment modality for locally advanced pancreatic cancer. The aim of this study is to assess the dosimetric efficacy of online adaptive radiotherapy (ART) in comparison to ima
Externí odkaz:
https://doaj.org/article/ce66093a4f944e67b80b93bf6be80cdd
Publikováno v:
ACS Omega, Vol 9, Iss 28, Pp 30436-30451 (2024)
Externí odkaz:
https://doaj.org/article/ddbe7d66ca284d648659f5105956954f