Zobrazeno 1 - 10
of 2 553
pro vyhledávání: '"Xu, Xiaoming"'
Data mixing methods play a crucial role in semi-supervised learning (SSL), but their application is unexplored in long-tailed semi-supervised learning (LTSSL). The primary reason is that the in-batch mixing manner fails to address class imbalance. Fu
Externí odkaz:
http://arxiv.org/abs/2404.01179
We present a hardware-efficient architecture of convolutional neural network, which has a repvgg-like architecture. Flops or parameters are traditional metrics to evaluate the efficiency of networks which are not sensitive to hardware including compu
Externí odkaz:
http://arxiv.org/abs/2302.00386
Autor:
Li, Chuyi, Li, Lulu, Geng, Yifei, Jiang, Hongliang, Cheng, Meng, Zhang, Bo, Ke, Zaidan, Xu, Xiaoming, Chu, Xiangxiang
The YOLO community has been in high spirits since our first two releases! By the advent of Chinese New Year 2023, which sees the Year of the Rabbit, we refurnish YOLOv6 with numerous novel enhancements on the network architecture and the training sch
Externí odkaz:
http://arxiv.org/abs/2301.05586
Vision Transformer (ViT) suffers from data scarcity in semi-supervised learning (SSL). To alleviate this issue, inspired by masked autoencoder (MAE), which is a data-efficient self-supervised learner, we propose Semi-MAE, a pure ViT-based SSL framewo
Externí odkaz:
http://arxiv.org/abs/2301.01431
Autor:
Xu, Xiaoming
abstract{\em Mechanism design} studies optimization problems taking into accounts of the selfish agents. {\em Network externality} is the effect a consumer receives from other consumers of the same good. This effect can be negative or positive. We fi
Externí odkaz:
http://hdl.handle.net/10161/9964
Autor:
Xu, Xiaoming1 (AUTHOR), Wu, Yuteng1 (AUTHOR), Xu, Yifei1 (AUTHOR), Mao, Wei2 (AUTHOR) maoweilw@163.com, Pan, Yanyun1 (AUTHOR) panyyhz@163.com, Martins, Joilson O. (AUTHOR) martinsj@usp.br
Publikováno v:
Mediators of Inflammation. 9/21/2024, Vol. 2024, p1-13. 13p.
Autor:
Xu, Xiaoming1 (AUTHOR) 18040077532@163.com, Yu, Chong1,2 (AUTHOR) yuchong0408@163.com, Liu, Zhenyang3 (AUTHOR) 13898161725@163.com, Cui, Xiaohang1 (AUTHOR) cuixiaohang1860@163.com, Guo, Xiaohe1 (AUTHOR) xiao154953@163.com, Wang, Haifeng1,2,4 (AUTHOR) wanghaifeng0310@163.com
Publikováno v:
Journal of Fungi. Aug2024, Vol. 10 Issue 8, p552. 13p.
Autor:
Li, Chuyi, Li, Lulu, Jiang, Hongliang, Weng, Kaiheng, Geng, Yifei, Li, Liang, Ke, Zaidan, Li, Qingyuan, Cheng, Meng, Nie, Weiqiang, Li, Yiduo, Zhang, Bo, Liang, Yufei, Zhou, Linyuan, Xu, Xiaoming, Chu, Xiangxiang, Wei, Xiaoming, Wei, Xiaolin
For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios. In this technical
Externí odkaz:
http://arxiv.org/abs/2209.02976
Publikováno v:
Multibody Syst. Dyn. (2024)
This paper proposes a unified approach for dynamic modeling and simulations of general tensegrity structures with rigid bars and rigid bodies of arbitrary shapes. The natural coordinates are adopted as a non-minimal description in terms of different
Externí odkaz:
http://arxiv.org/abs/2206.06221
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496