Results 11 to 20 of about 304,469 (259)

MAS-UNet: a U-shaped network for prostate segmentation

Frontiers in Medicine, 2023
Prostate cancer is a common disease that seriously endangers the health of middle-aged and elderly men. MRI images are the gold standard for assessing the health status of the prostate region.
YuQi Hong, Zhao Qiu, Huajing Chen, Bing Zhu, Haodong Lei   +4 more
doaj   +1 more source

OrthoNets: Orthogonal Channel Attention Networks

2023 IEEE International Conference on Big Data (BigData), 2023
IEEE BigData ...
Hadi Salman, Caleb Parks, Matthew Swan, John Gauch   +3 more
openaire   +2 more sources

IRE: Improved Image Super-Resolution Based on Real-ESRGAN

IEEE Access, 2023
Image super-resolution (SR) is a research field focusing on image degradation techniques. The High-order Deterioration Model (HDM) implemented in Real-ESRGAN has proven more effective in simulating the degradation of real-world images compared to ...
Zhengwei Zhu, Yushi Lei, Yilin Qin, Chenyang Zhu, Yanping Zhu   +4 more
doaj   +1 more source

Attentional Sampling between Eye Channels

Journal of Cognitive Neuroscience, 2023
Abstract Our ability to detect targets in the environment fluctuates in time. When individuals focus attention on a single location, the ongoing temporal structure of performance fluctuates at 8 Hz. When task demands require the distribution of attention over two objects defined by their location, color or motion direction, ongoing ...
Daniele Re, Golan Karvat, Ayelet N. Landau   +2 more
openaire   +2 more sources

iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module

Frontiers in Genetics, 2023
Enhancers play a crucial role in controlling gene transcription and expression. Therefore, bioinformatics puts many emphases on predicting enhancers and their strength.
Jianhua Jia, Rufeng Lei, Lulu Qin, Genqiang Wu, Xin Wei   +4 more
doaj   +1 more source

WaveNets: Wavelet Channel Attention Networks

2022 IEEE International Conference on Big Data (Big Data), 2022
IEEE BigData2022 ...
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan   +3 more
openaire   +2 more sources

Underwater object detection algorithm based on channel attention and feature fusion

Xibei Gongye Daxue Xuebao, 2022
Due to the color deviation, low contrast and fuzzy object in underwater optical images, there are some problems in underwater object detection, such as missed detection and false detection.
ZHANG Yan, LI Xingshan, SUN Yemei, LIU Shudong   +3 more
doaj   +1 more source

A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification

IEEE Access, 2020
Multivariate time series classification (MTSC) is a fundamental and essential research problem in the domain of time series data mining. Recently deep neural networks emerged as an end-to-end solution for MTSC and achieve state-of-the-art results on ...
Xu Cheng, Peihua Han, Guoyuan Li, Shengyong Chen, Houxiang Zhang   +4 more
doaj   +1 more source

Self-Supervised Monocular Depth Estimation Based on Channel Attention

Photonics, 2022
Scene structure and local details are important factors in producing high-quality depth estimations so as to solve fuzzy artifacts in depth prediction results.
Bo Tao, Xinbo Chen, Xiliang Tong, Du Jiang, Baojia Chen   +4 more
doaj   +1 more source

Channel Distillation: Channel-Wise Attention for Knowledge Distillation

CoRR, 2020
Knowledge distillation is to transfer the knowledge from the data learned by the teacher network to the student network, so that the student has the advantage of less parameters and less calculations, and the accuracy is close to the teacher. In this paper, we propose a new distillation method, which contains two transfer distillation strategies and a ...
Zaida Zhou, Chaoran Zhuge, Xinwei Guan, Wen Liu   +3 more
openaire   +2 more sources