Multiple-Attention Mechanism Network for Semantic Segmentation
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way.
Dongli Wang +5 more
doaj +3 more sources
Probabilistic Attention Map: A Probabilistic Attention Mechanism for Convolutional Neural Networks
The attention mechanism is essential to convolutional neural network (CNN) vision backbones used for sensing and imaging systems. Conventional attention modules are designed heuristically, relying heavily on empirical tuning.
Yifeng Liu, Jing Tian
doaj +3 more sources
Attention mechanisms in the CHREST cognitive architecture [PDF]
In this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks.
Lane, PCR, Gobet, F, Smith, RL
core +7 more sources
Image classification model based on large kernel attention mechanism and relative position self-attention mechanism [PDF]
The Transformer has achieved great success in many computer vision tasks. With the in-depth exploration of it, researchers have found that Transformers can better obtain long-range features than convolutional neural networks (CNN). However, there will be
Siqi Liu +3 more
doaj +2 more sources
System-level attention links cognition, perception and action: Evidence from language comprehension and eye movements [PDF]
The research reported in this thesis attempted to establish the underlying representational substrate within which cognition, perception and action interact.
Liu, Xierong
core +7 more sources
Surface Defect Detection With Channel-Spatial Attention Modules and Bi-Directional Feature Pyramid
The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability to capture intricate details of complex objects. To solve the problems of insufficient feature extraction ability and incomplete feature fusion in the YOLOv5
Haitao Xin, Kai Zhang
doaj +1 more source
Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
doaj +1 more source
User Trajectory Identification Model via Attention Mechanism [PDF]
Recently the application of location-based services has gradually become popular.It provides convenience in people's daily life,and also brings a great threat to personal privacy.The existing research shows that,with a large amount of historical ...
LI Hao, CAO Shu-yu, CHEN Ya-qing, ZHANG Min
doaj +1 more source
Attention mechanism and skip-gram embedded phrases
This article examines common translation errors that occur in the translation of legal texts. In particular, it focuses on how German texts containing legal terminology are rendered into Modern Greek by the Google translation machine.
Panagiotis Krimpas, Christina Valavani
doaj +1 more source
Competitive Market-based Allocation of Consumer Attention [PDF]
The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating the ...
La Poutre, J.A. +2 more
core +3 more sources

