Results 1 to 10 of about 274,699 (276)

Unsupervised Person Reidentification Using Stripe-Driven Fusion Transformer Network

IET Software
In recent years, some methods utilize a transformer as the backbone to model the long-range context dependencies, reflecting a prevailing trend in unsupervised person reidentification (Re-ID) tasks.
Zeyu Zang, Yang Liu, Shuang Liu, Zhong Zhang, Xinshan Zhu   +4 more
doaj   +1 more source

Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks

IEEE Access, 2018
In this paper, we propose a novel label distribution approach named part-based gradation regularization (PGR) for pedestrian retrieval in sensor networks.
Shuang Liu, Xiaolong Hao, Zhong Zhang
doaj   +1 more source

Power Control for Two-Way AF Relay Assisted D2D Communications Underlaying Cellular Networks

IEEE Access, 2020
As a key technology of the 5G communication system, device-to-device (D2D) communications have drawn significant research interests. However, the advantage of D2D communications may be limited when D2D users are far away from each other or the ...
Liang Han, Ranran Zhou, Yupeng Li, Bo Zhang, Xin Zhang   +4 more
doaj   +1 more source

Synthetical application of multi-feature map detection and multi-branch convolution

EURASIP Journal on Wireless Communications and Networking, 2019
Two methods for improving the detection performance of neural networks are introduced in this paper, multi-feature map detection and multi-branch convolution structure.
Jin Chen, Rong Liu, Ying Tong, Hanling Wu   +3 more
doaj   +1 more source

Salient Dual Activations Aggregation for Ground-Based Cloud Classification in Weather Station Networks

IEEE Access, 2018
Since appearances of clouds are always changeable, ground-based cloud classification is still in urgent need of development in weather station networks. Many existing methods resort to convolutional neural networks to improve the classification accuracy.
Zhong Zhang, Donghong Li, Shuang Liu
doaj   +1 more source

Dual Guided Loss for Ground-Based Cloud Classification in Weather Station Networks

IEEE Access, 2019
In this paper, we propose a novel loss function named dual-guided loss (DGL) for ground-based cloud classification in weather station networks. The proposed DGL could integrate the knowledge of different convolutional neural networks (CNNs) in the ...
Mei Li, Shuang Liu, Zhong Zhang
doaj   +1 more source

Image Enhancement via Indented Frame Over Fusion

IEEE Access, 2019
In this era of artificial intelligence (AI), the Internet of things (IoT) with the capability of connecting a great number of heterogeneous terminals and the popularity of mobile devices, which makes more devices available as another pair of eyes for ...
Baoju Zhang, Wenrui Yan, Gang Li, Jingqi Fei, Cuiping Zhang, Chuyi Chen   +5 more
doaj   +1 more source

Optical Wireless Power Transmission

Optical Wireless Power Transmission
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +2 more sources

A Study on the Optimal Magnetic Beam Forming of Coil Arrays for Long Distance Wireless Power Transmission. [PDF]

Sensors (Basel), 2023
Oh MJ, Danuor P, Jung YB.
europepmc   +1 more source

The Efficiency Improvement of Multiple Receivers in Wireless Power Transmission by Integrating Metasurfaces. [PDF]

Materials (Basel), 2022
Xun JH, Mu Y, Zhang K, Liu H, Li L.
europepmc   +1 more source