Zobrazeno 1 - 10
of 535
pro vyhledávání: '"JIANG Zhaohui"'
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 7, Pp 89-97 (2024)
At present, the combination of edge computing and machine vision has a good application prospect for coal mine safety monitoring. But the storage space and computing resources at the edge are limited, and high-precision complex visual models are diff
Externí odkaz:
https://doaj.org/article/73267469762249a39e7b9c107740a9d4
Publikováno v:
智慧农业, Vol 4, Iss 4, Pp 84-104 (2022)
Accurate peach detection is a prerequisite for automated agronomic management, e.g., peach mechanical harvesting. However, due to uneven illumination and ubiquitous occlusion, it is challenging to detect the peaches, especially when the peaches are b
Externí odkaz:
https://doaj.org/article/e0bd8520a74247bfaa7722778d9876d8
Autor:
Jiang, Zhaohui, Feng, Xuening, Weng, Paul, Zhu, Yifei, Song, Yan, Zhou, Tianze, Hu, Yujing, Lv, Tangjie, Fan, Changjie
In practice, reinforcement learning (RL) agents are often trained with a possibly imperfect proxy reward function, which may lead to a human-agent alignment issue (i.e., the learned policy either converges to non-optimal performance with low cumulati
Externí odkaz:
http://arxiv.org/abs/2410.05782
Autor:
Chen, Zhiwen, Mo, Siwen, Ke, Haobin, Ding, Steven X., Jiang, Zhaohui, Yang, Chunhua, Gui, Weihua
Learning representations of two views of data such that the resulting representations are highly linearly correlated is appealing in machine learning. In this paper, we present a canonical correlation guided learning framework, which allows to be rea
Externí odkaz:
http://arxiv.org/abs/2409.19396
Publikováno v:
e-Polymers, Vol 21, Iss 1, Pp 200-209 (2021)
A fast, simple, and energy-saving microwave-assisted approach was successfully developed to prepare carbon microspheres. The carbon microspheres with a uniform particle size and good dispersity were prepared using glucose as the raw material and HCl
Externí odkaz:
https://doaj.org/article/e7fc5664cfb6495cbe9989fafb2e51f7
Autor:
Jiang, Zhaohui, Weng, Paul
To improve the sample efficiency of vision-based deep reinforcement learning (RL), we propose a novel method, called SPIRL, to automatically extract important patches from input images. Following Masked Auto-Encoders, SPIRL is based on Vision Transfo
Externí odkaz:
http://arxiv.org/abs/2402.03329
Publikováno v:
In Neurocomputing 1 October 2024 600
Autor:
Zhou, Jia, Jiang, Zhaohui, Sun, Runbin, Pan, Di, Du, Qianming, Zhou, Xiang, Chen, Yi, Chen, Yan, Peng, Jianqing
Publikováno v:
In Colloids and Surfaces B: Biointerfaces September 2024 241
Publikováno v:
In Measurement 30 January 2025 240
Autor:
Wu, Kanglei, Wang, Tan, Rao, Yuan, Jin, Xiu, Wang, Xiaobo, Li, Jiajia, Zhang, Zhe, Jiang, Zhaohui, Shao, Xing, Zhang, Wu
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part B