Zobrazeno 1 - 10
of 629
pro vyhledávání: '"WU Wenlong"'
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 9, Pp 1297-1301 (2023)
Objective To investigate the efficacy and safety of transanal local resection combined with radiotherapy and chemotherapy with linear cutting stapler in the treatment of stage T2N0M0 low rectal cancer. Methods The clinical data of 57 patients with st
Externí odkaz:
https://doaj.org/article/9710d18d5d4c4a5394de256147b990f0
Autor:
Lai, Jinxiang, Wu, Wenlong, Gao, Bin-Bin, Liu, Jun, Zhan, Jiawei, Nie, Congchong, Zeng, Yi, Wang, Chengjie
Publikováno v:
AAAI 2024
Image matching and object detection are two fundamental and challenging tasks, while many related applications consider them two individual tasks (i.e. task-individual). In this paper, a collaborative framework called MatchDet (i.e. task-collaborativ
Externí odkaz:
http://arxiv.org/abs/2312.10983
Autor:
Pekaslan, Direnc, Alonso-Moral, Jose Maria, Bandara, Kasun, Bergmeir, Christoph, Bernabe-Moreno, Juan, Eigenmann, Robert, Einecke, Nils, Ergen, Selvi, Godahewa, Rakshitha, Hewamalage, Hansika, Lago, Jesus, Limmer, Steffen, Rebhan, Sven, Rabinovich, Boris, Rajapasksha, Dilini, Song, Heda, Wagner, Christian, Wu, Wenlong, Magdalena, Luis, Triguero, Isaac
This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Tec
Externí odkaz:
http://arxiv.org/abs/2311.04007
Autor:
Lai, Jinxiang, Yang, Siqian, Zhou, Junhong, Wu, Wenlong, Chen, Xiaochen, Liu, Jun, Gao, Bin-Bin, Wang, Chengjie
Publikováno v:
IJCAI 2023
Weak feature representation problem has influenced the performance of few-shot classification task for a long time. To alleviate this problem, recent researchers build connections between support and query instances through embedding patch features t
Externí odkaz:
http://arxiv.org/abs/2304.10093
Publikováno v:
Jixie qiangdu, Vol 37, Pp 546-550 (2015)
Principle of compounding method and empirical method was compared and analysised. Based on the three boundary condition decomposition methods of structure with multiple site damage( MSD),stress intensity factor( SIF) of MSD crack tips was cal
Externí odkaz:
https://doaj.org/article/39a972e7b40c456099d5a1f298fc13c1
Autor:
Lai, Jinxiang, Yang, Siqian, Wu, Wenlong, Wu, Tao, Jiang, Guannan, Wang, Xi, Liu, Jun, Gao, Bin-Bin, Zhang, Wei, Xie, Yuan, Wang, Chengjie
Publikováno v:
AAAI 2023
Recent Few-Shot Learning (FSL) methods put emphasis on generating a discriminative embedding features to precisely measure the similarity between support and query sets. Current CNN-based cross-attention approaches generate discriminative representat
Externí odkaz:
http://arxiv.org/abs/2303.09281
Autor:
Zhan, Jiawei, Liu, Jun, Tang, Wei, Jiang, Guannan, Wang, Xi, Gao, Bin-Bin, Zhang, Tianliang, Wu, Wenlong, Zhang, Wei, Wang, Chengjie, Xie, Yuan
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia. 2022: 6318-6326
Multi-label image classification, which can be categorized into label-dependency and region-based methods, is a challenging problem due to the complex underlying object layouts. Although region-based methods are less likely to encounter issues with m
Externí odkaz:
http://arxiv.org/abs/2211.12716
Autor:
Lai, Jinxiang, Yang, Siqian, Liu, Wenlong, Zeng, Yi, Huang, Zhongyi, Wu, Wenlong, Liu, Jun, Gao, Bin-Bin, Wang, Chengjie
Publikováno v:
European Conference on Computer Vision (ECCV 2022)
Few-Shot Learning (FSL) alleviates the data shortage challenge via embedding discriminative target-aware features among plenty seen (base) and few unseen (novel) labeled samples. Most feature embedding modules in recent FSL methods are specially desi
Externí odkaz:
http://arxiv.org/abs/2211.00868
Autor:
Huang, Dihe, Chen, Ying, Xu, Shang, Liu, Yong, Wu, Wenlong, Ding, Yikang, Wang, Chengjie, Tang, Fan
The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance. However, these methods still struggle at large-scale and viewpoint variations, due to the geometric inconsistency resulting
Externí odkaz:
http://arxiv.org/abs/2207.08427
Autor:
Han, Huanian, Shen, Quan, Wu, Wenlong, Jiao, Jingjing, Li, Long, Shao, Jiaojing, Zhu, Tao, Xu, Peng
Publikováno v:
In Separation and Purification Technology 21 August 2024 342