Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Yabiao Wang"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 895 (2022)
In recent years, mapless navigation using deep reinforcement learning algorithms has shown significant advantages in improving robot motion planning capabilities. However, the majority of past works have focused on aerial and ground robotics, with ve
Externí odkaz:
https://doaj.org/article/e3fa46ac16254d7682ad6fc4aa88275e
Autor:
Yutong Chen, Pei Wang, Di Li, Erbil Gügercinoğlu, Zhao Rushuang, Lingqi Meng, Jianping Yuan, Jiarui Niu, Weiwei Zhu, Yi Feng, Chenchen Miao, Chenhui Niu, Qingdong Wu, Na Wang, Shen Wang, Xiaoyao Xie, Xuhong Yu, Mengyao XUE, Jumei Yao, Mao Yuan, You Shanping, Youling Yue, Jie Zhang, Junshuo Zhang, Lei Zhang, Yabiao Wang, Zhenye Gan, Yuxi Li, Zhongyi Sun, Chengjie Wang
Publikováno v:
Research in Astronomy and Astrophysics.
We report the discovery of PSR J1909+0122 by the Five-hundred-meter Aperture Spherical radio Telescope (FAST) as part of the Commensal Radio Astronomy FAST Survey (CRAFTS). PSR J1909+0122 has a spin period of 1.257 seconds, a dispersion measure (DM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c381c7bffc6bafa224abedb2b5cb2bb8
https://doi.org/10.1088/1674-4527/acd89d
https://doi.org/10.1088/1674-4527/acd89d
Autor:
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Publikováno v:
Scopus-Elsevier
Few-shot semantic segmentation aims to learn to segment unseen class objects with the guidance of only a few support images. Most previous methods rely on the pixel-level label of support images. In this paper, we focus on a more challenging setting,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b073a0959ccd15a5d8203d44302907c
http://arxiv.org/abs/2303.05646
http://arxiv.org/abs/2303.05646
Autor:
Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf841f1d70de6270eb4bb07c765e394
https://doi.org/10.1007/978-3-031-25063-7_2
https://doi.org/10.1007/978-3-031-25063-7_2
Autor:
Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e290ddc73682ed31104790a2439074f0
https://doi.org/10.1109/cvpr52688.2022.00432
https://doi.org/10.1109/cvpr52688.2022.00432
Autor:
Jilin Li, Chengjie Wang, Ying Tai, Jian Li, Zhenyu Zhang, Yili Xia, Yabiao Wang, Bin Zhang, Huang Xiaoming
Publikováno v:
ACM Multimedia
Along with current multi-scale based detectors, Feature Aggregation and Enhancement (FAE) modules have shown superior performance gains for cutting-edge object detection. However, these hand-crafted FAE modules show inconsistent improvements on face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aba1d9a2e06aa0bdf8c0f30381249ea
http://arxiv.org/abs/2201.10781
http://arxiv.org/abs/2201.10781
The task of Few-shot learning (FSL) aims to transfer the knowledge learned from base categories with sufficient labelled data to novel categories with scarce known information. It is currently an important research question and has great practical va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b84e2b64b5395b83eedb16cfd6e598f
In the practical application of restoring low-resolution gray-scale images, we generally need to run three separate processes of image colorization, super-resolution, and dows-sampling operation for the target device. However, this pipeline is redund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d1cc23a1f1d3ecd8a9bd8342fc383b
Autor:
Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang
Despite plenty of efforts focusing on improving the domain adaptation ability (DA) under unsupervised or few-shot semi-supervised settings, recently the solution of active learning started to attract more attention due to its suitability in transferr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab847d132d480e977262b8a6d985e0c
Autor:
Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75039873d6aabebbfbd177e29b12fe0b
https://doi.org/10.1007/978-3-031-19784-0_4
https://doi.org/10.1007/978-3-031-19784-0_4