Results 51 to 60 of about 1,432,491 (277)

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

, 2019
Cross-view image translation is challenging because it involves images with drastically different views and severe deformation. In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to
Corso, Jason J., Sebe, Nicu, Tang, Hao, Wang, Yanzhi, Xu, Dan, Yan, Yan   +5 more
core   +1 more source

Channel-spatial attention network for fewshot classification

PLOS ONE, 2019
Learning a powerful representation for a class with few labeled samples is a challenging problem. Although some state-of-the-art few-shot learning algorithms perform well based on meta-learning, they only focus on novel network architecture and fail to take advantage of the knowledge of every classification task. In this paper, to accomplish this goal,
Yan Zhang, Min Fang, Nian Wang
openaire   +4 more sources

Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation

, 2021
Spatial and channel attentions, modelling the semantic interdependencies in spatial and channel dimensions respectively, have recently been widely used for semantic segmentation. However, computing spatial and channel attentions separately sometimes causes errors, especially for those difficult cases.
Huang, Ye, Kang, Di, Jia, Wenjing, He, Xiangjian, Liu, Liu   +4 more
openaire   +2 more sources

Infection Control Practices for Vascular Access Management in Hemodialysis: Results From a Nationwide Survey of Japanese National University Hospitals

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada, Makoto Harada, Tadahiko Kikugawa, Takeshi Nakata, Koji Hashimoto, Tsuneo Konta, Yuji Kamijo   +6 more
wiley   +1 more source

Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS

Sensors
To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity ...
Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao   +6 more
doaj   +1 more source

LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks

Mathematics, 2023
Inspired by the human visual system to concentrate on the important region of a scene, attention modules recalibrate the weights of either the channel features alone or along with spatial features to prioritize informative regions while suppressing ...
Seng Chun Hoo, Haidi Ibrahim, Shahrel Azmin Suandi, Theam Foo Ng   +3 more
doaj   +1 more source

Multihop Diversity for Fading Mitigation in Multihop Wireless Networks

, 2011
The concept of multihop diversity is proposed, where all the nodes of a multihop link are assumed to have buffers for temporarily storing their received packets.
Dong, Chen, Hanzo, Lajos, Yang, Lie-Liang   +2 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

A Strawberry Ripeness Detection Method Based on Improved YOLOv8

Applied Sciences
An enhanced YOLOv8-based network was developed to accurately and efficiently detect the ripeness of strawberries in complex environments. Firstly, a CA (channel attention) mechanism was integrated into the backbone and head of the YOLOv8 model to improve
Yawei Yue, Shengbo Xu, Huanhuan Wu
doaj   +1 more source

An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution

Applied Sciences, 2022
To solve the problem that small drones in the sky are easily confused with background objects and difficult to detect, according to the characteristics of irregular movement, small size, and changeable shape of drones, using a regional target recognition
Jianghao Cheng, Yanyan Liu, Guoning Li, Jin Li, Jiantao Peng, Jintao Hong   +5 more
doaj   +1 more source