Results 71 to 80 of about 3,136,925 (183)

AAFM: Adaptive Attention Fusion Mechanism for Crowd Counting

IEEE Access, 2020
CNN-based crowd counting methods have achieved great progress in recent years. However, most of these CNN-based crowd counting methods do not make full use of contextual information, which contains high-level semantic features and low-level detail ...
Zuodong Duan, Huimin Chen, Jiahao Deng
doaj   +1 more source

Direct coupling analysis and the attention mechanism

BMC Bioinformatics
Proteins are involved in nearly all cellular functions, encompassing roles in transport, signaling, enzymatic activity, and more. Their functionalities crucially depend on their complex three-dimensional arrangement.
Francesco Caredda, Andrea Pagnani
doaj   +1 more source

Neuronal Mechanisms of Visual Attention

Annual Review of Vision Science, 2015
Advances on several fronts have refined our understanding of the neuronal mechanisms of attention. This review focuses on recent progress in understanding visual attention through single-neuron recordings made in behaving subjects. Simultaneous recordings from populations of individual cells have shown that attention is associated with changes in the ...
openaire   +3 more sources

Knowledge-Enhanced Dual-Attention Mechanism Recommendation Method

IEEE Access
Knowledge graph (KG), when used as supplementary information in the recommendation domain, effectively alleviate the data sparsity and cold start problems inherent to collaborative filtering.
Lisi Zhang, Beijing Zhou, Wei Cui
doaj   +1 more source

Attention Mechanism-Based Cognition-Level Scene Understanding

Information
Given a question–image input, a visual commonsense reasoning (VCR) model predicts an answer with a corresponding rationale, which requires inference abilities based on real-world knowledge.
Xuejiao Tang, Wenbin Zhang
doaj   +1 more source

Attention, Please! Adversarial Defense via Attention Rectification and Preservation

, 2019
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.
Jing, Liping, Sang, Jitao, Sun, Yanfeng, Wu, Shangxi, Xu, Kaiyuan, Yu, Jian, Zhang, Jiaming   +6 more
core  

Ship Segmentation via Combined Attention Mechanism and Efficient Channel Attention High-Resolution Representation Network

Journal of Marine Science and Engineering
Ship segmentation with small imaging size, which challenges ship detection and visual navigation model performance due to imaging noise interference, has attracted significant attention in the field.
Xiaoyi Li
doaj   +1 more source

A Framework for Predicting Winter Wheat Yield in Northern China with Triple Cross-Attention and Multi-Source Data Fusion

Plants
To solve the issue that existing yield prediction methods do not fully capture the interaction between multiple factors, we propose a winter wheat yield prediction framework with triple cross-attention for multi-source data fusion.
Shuyan Pan, Liqun Liu
doaj   +1 more source

Attention improvement for data-driven analyzing fluorescence excitation-emission matrix spectra via interpretable attention mechanism

npj Clean Water
Analyzing three-dimensional excitation-emission matrix (3D-EEM) spectra through machine learning models has drawn increasing attention, whereas the reliability of these machine learning models remains unclear due to their “black box” nature.
Run-Ze Xu, Jia-Shun Cao, Jing-Yang Luo, Bing-Jie Ni, Fang Fang, Weijing Liu, Peifang Wang   +6 more
doaj   +1 more source

Pre-training Attention Mechanisms

, 2017
Presented at NIPS 2017 Workshop on Cognitively Informed Artificial ...
openaire   +2 more sources