Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Piao Songhao"'
Publikováno v:
IEEE Access, Vol 8, Pp 101406-101415 (2020)
Brain cancer is one of the most dominant causes of cancer death; the best way to diagnose and treat brain tumors is to screen early. Magnetic Resonance Imaging (MRI) is commonly used for brain tumor diagnosis; however, it is a challenging problem to
Externí odkaz:
https://doaj.org/article/c9cf595b543f4199bd25517814ed4b65
Crowd navigation has received significant research attention in recent years, especially DRL-based methods. While single-robot crowd scenarios have dominated research, they offer limited applicability to real-world complexities. The heterogeneity of
Externí odkaz:
http://arxiv.org/abs/2403.10083
We introduce a self-supervised vision representation model BEiT, which stands for Bidirectional Encoder representation from Image Transformers. Following BERT developed in the natural language processing area, we propose a masked image modeling task
Externí odkaz:
http://arxiv.org/abs/2106.08254
Publikováno v:
Journal of Supercomputing, J Supercomput 76 (2020)
An approach of mobile multi-agent pursuit based on application of self-organizing feature map (SOFM) and along with that reinforcement learning based on agent group role membership function (AGRMF) model is proposed. This method promotes dynamic orga
Externí odkaz:
http://arxiv.org/abs/2006.01022
Autor:
Bao, Hangbo, Dong, Li, Wei, Furu, Wang, Wenhui, Yang, Nan, Liu, Xiaodong, Wang, Yu, Piao, Songhao, Gao, Jianfeng, Zhou, Ming, Hon, Hsiao-Wuen
We propose to pre-train a unified language model for both autoencoding and partially autoregressive language modeling tasks using a novel training procedure, referred to as a pseudo-masked language model (PMLM). Given an input text with masked tokens
Externí odkaz:
http://arxiv.org/abs/2002.12804
Publikováno v:
In Advances in Space Research 15 March 2023 71(6):2591-2608
Autor:
Bao, Hangbo, Huang, Shaohan, Wei, Furu, Cui, Lei, Wu, Yu, Tan, Chuanqi, Piao, Songhao, Zhou, Ming
In this paper, we study a novel task that learns to compose music from natural language. Given the lyrics as input, we propose a melody composition model that generates lyrics-conditional melody as well as the exact alignment between the generated me
Externí odkaz:
http://arxiv.org/abs/1809.04318
Publikováno v:
IEEE Access (2019)
In this paper, we present a novel tightly-coupled probabilistic monocular visual-odometric Simultaneous Localization and Mapping algorithm using wheels and a MEMS gyroscope, which can provide accurate, robust and long-term localization for the ground
Externí odkaz:
http://arxiv.org/abs/1804.04854
An approach for coalition formation of multi-agent pursuit based on neural network and AGRMF model is proposed.This paper constructs a novel neural work called AGRMF-ANN which consists of feature extraction part and group generation part. On one hand
Externí odkaz:
http://arxiv.org/abs/1707.05001
Publikováno v:
IEEE Access (2019)
This paper presents a novel tightly-coupled monocular visual-inertial Simultaneous Localization and Mapping algorithm, which provides accurate and robust localization within the globally consistent map in real time on a standard CPU. This is achieved
Externí odkaz:
http://arxiv.org/abs/1706.03648