Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Wu, Wenlong"'
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
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
Autor:
Xu, Mengyang, Fang, Donglu, Kimatu, Benard Muinde, Lyu, Lianfei, Wu, Wenlong, Cao, Fuliang, Li, Weilin
Publikováno v:
In Food Control August 2024 162
Publikováno v:
In Scientia Horticulturae 1 July 2024 333