Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xingjia Pan"'
Autor:
Nyambura, Samuel Mbugua, Jufei, Wang, Hua, Li, Xuebin, Feng, Xingjia, Pan, Bohong, Li, Ahmad, Riaz, Jialiang, Xu, Bertrand, Gbenontin V., Ndiithi, Joseph, Xuhui, Li
Publikováno v:
In Sustainable Energy Technologies and Assessments August 2022 52 Part A
Publikováno v:
IEEE Transactions on Multimedia. :1-12
Publikováno v:
IEEE transactions on neural networks and learning systems.
Weakly supervised object localization (WSOL), which trains object localization models using solely image category annotations, remains a challenging problem. Existing approaches based on convolutional neural networks (CNNs) tend to miss full object e
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Modern object detectors have achieved impressive progress under the close-set setup. However, open-set object detection (OSOD) remains challenging since objects of unknown categories are often misclassified to existing known classes. In this work, we
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Tong-Yee Lee, Fan Tang, Yiping Meng, Changsheng Xu, Feiyue Huang, Chongyang Ma, Xingjia Pan, Weiming Dong
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:2298-2312
With the surge of images in the information era, people demand an effective and accurate way to access meaningful visual information. Accordingly, effective and accurate communication of information has become indispensable. In this article, we propo
Publikováno v:
Pattern Recognition. 137:109280
Semi-supervised object detection has recently achieved substantial progress. As a mainstream solution, the self-labeling-based methods train the detector on both labeled data and unlabeled data with pseudo labels predicted by the detector itself, but
Autor:
Jufei Wang, Riaz Ahmad, Samuel Mbugua Nyambura, Xuhui Li, Hua Li, Ruiyin He, Bohong Li, Xingjia Pan, Jialiang Xu
Publikováno v:
Journal of Food Process Engineering. 45
Autor:
Yiping Meng, Zhichao Song, Xingjia Pan, Weiming Dong, Yang Gu, Fan Tang, Changsheng Xu, Pengfei Xu, Oliver Deussen
Publikováno v:
IEEE Transactions on Image Processing. 29:6745-6758
Input scale plays an important role in modern detection frameworks, and an optimal training scale for images exists empirically. However, the optimal one usually cannot be reached in facing extremely large images under the memory constraint. In this
Autor:
Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb50a2a95f8fa0ff9e5d48977b73e3c
https://doi.org/10.1007/978-3-031-19833-5_35
https://doi.org/10.1007/978-3-031-19833-5_35