Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Bingfeng, Zhang"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Syncontractional extension is prominent in present-day Tibet, but its origin remains vigorously debated. Several deep-seated geodynamic processes (e.g., Indian underthrusting, horizontal flow, and mantle upwelling) have been linked to Tibeta
Externí odkaz:
https://doaj.org/article/15581ae211954c1899870a2f2b0a1610
Autor:
Bingfeng Zhang, Xuewei Bao
Publikováno v:
地球与行星物理论评, Vol 54, Iss 1, Pp 27-43 (2023)
The mechanisms causing the uplifting of the Tien Shan, one of the largest and most active intracontinental orogenic belts on Earth, have been vigorously debated for decades. Seismic investigation is a fundamental tool used for deep structural explora
Externí odkaz:
https://doaj.org/article/71a309bdcb4741b99d8f3a9c9e330f11
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:8082-8096
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., training accurate semantic segmentation models using bound
Autor:
Xiumei Zhang, Bingfeng Zhang, Panhong Zhang, Lihui Lian, Lianlian Li, Zhihong Qiu, Kai Qian, An Chen, Qiongqing Liu, Yinjie Jiang, Jiajun Cui, Bing Qi
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0217181 (2019)
MiR-873/CDK3 has been shown to play a critical role in ERα signaling and tamoxifen resistance. Thus, targeting this pathway may be a potential therapeutic approach for the treatment of ER positive breast cancer especially tamoxifen resistant subtype
Externí odkaz:
https://doaj.org/article/9114453fed3c4059a8a2cdb65784f4ed
Publikováno v:
International Journal of Computer Vision.
Publikováno v:
Geology. 50:812-816
The initiation and evolution of compressional intracontinental orogens are favored by rheologically weak lithosphere underneath; however, how this weakened lithosphere responds to the regional stress regime remains vigorously debated. The Tien Shan m
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Recent semi-supervised semantic segmentation methods focus on mining extra supervision from unlabeled data by generating pseudo labels. However, noisy labels are inevitable in this process which prevent effective self-supervision. This paper proposes
Publikováno v:
Pattern Recognition. 138:109374