Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Shicai Yang"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 15, Iss 1, Pp 1-9 (2020)
Abstract Background Porous titanium alloy scaffold fabricated by 3D printing technology could induce osseointegration well to repair bone defect during early postoperative period. However, trabecular histomorphological features and chemical compositi
Externí odkaz:
https://doaj.org/article/7f8158ef73f347938d40fe6da0909aa0
Publikováno v:
IEEE Transactions on Multimedia. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb07690095673c70eade876c8991538b
https://doi.org/10.1109/tmm.2023.3252275
https://doi.org/10.1109/tmm.2023.3252275
Publikováno v:
International Journal of Morphology. Dec2021, Vol. 39 Issue 6, p1581-1586. 6p.
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc079996befec362d5c64bdedc73e5b
https://doi.org/10.1109/icassp49357.2023.10094299
https://doi.org/10.1109/icassp49357.2023.10094299
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8070b82d68b50b40a2d6715f113b1bc
https://doi.org/10.1109/iros47612.2022.9981099
https://doi.org/10.1109/iros47612.2022.9981099
Autor:
Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Vanilla unsupervised domain adaptation methods tend to optimize the model with fixed neural architecture, which is not very practical in real-world scenarios since the target data is usually processed by different resource-limited devices. It is ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e85751cf52072d7dcf01fa3b60599d62
https://doi.org/10.1109/cvpr52688.2022.00700
https://doi.org/10.1109/cvpr52688.2022.00700
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 22:638-651
Object detection is one of the hottest research directions in computer vision, has already made impressive progress in academia, and has many valuable applications in the industry. However, the mainstream detection methods still have two shortcomings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b454ac8bb4b8128d8522d15f9362a9
https://doi.org/10.1631/fitee.2000567
https://doi.org/10.1631/fitee.2000567
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a370bec88f82967cfa445c85d5db8c5
https://doi.org/10.1109/icassp43922.2022.9747711
https://doi.org/10.1109/icassp43922.2022.9747711
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d58e153c71fd63c7d28dc6244812577a
https://doi.org/10.1109/icassp43922.2022.9746269
https://doi.org/10.1109/icassp43922.2022.9746269
Publikováno v:
Neurocomputing. 395:170-177
Deep region-based object detector consists of a region proposal step and a deep object recognition step. In this paper, we make significant improvements on both of the two steps. For region proposal we propose a novel lightweight cascade structure wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4735ee8b258452e2a5dd8e80f2c3611
https://doi.org/10.1016/j.neucom.2017.12.070
https://doi.org/10.1016/j.neucom.2017.12.070