Omni-dimensional dynamic convolution with coordinate attention detection scheme
Sign Up to like & getrecommendations! Published in 2025 at "Science Progress"
DOI: 10.1177/00368504251336695
Abstract: The paper proposes improvements to YOLOv8n to enhance small target detection capabilities and introduces coordinate attention (CA) to the C2f module to improve focus on spatial information and local details. CA enhances spatial feature representation… read more here.
Keywords: detection; coordinate attention; omni dimensional; dimensional dynamic ... See more keywords
MonoDCN: Monocular 3D object detection based on dynamic convolution
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0275438
Abstract: 3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. The methods of taking RGB… read more here.
Keywords: information; dynamic convolution; monocular object; detection ... See more keywords
Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model
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DOI: 10.3390/a18090569
Abstract: Rolling bearing vibration signals are often severely affected by strong external noise, which can obscure fault-related features and hinder accurate diagnosis. To address this challenge, this paper proposes an enhanced Deep Residual Shrinkage Network with… read more here.
Keywords: dynamic convolution; kernel attention; network; selective kernel ... See more keywords
Dynamic Convolution Neural Networks with Both Global and Local Attention for Image Classification
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DOI: 10.3390/math12121856
Abstract: Convolution is a crucial component of convolution neural networks (CNNs). However, the standard static convolution has two primary defects: data independence and the weak ability to integrate global and local features. This paper proposes a… read more here.
Keywords: global local; convolution; dynamic convolution; attention ... See more keywords