Optimizing CNN for pavement distress detection via edge-enhanced multi-scale feature fusion. [PDF]
PLoS OneWang J, Li X, Xu Y, Zhou Z, Wu W, Li Z.
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A recognition model for winter peach fruits based on improved ResNet and multi-scale feature fusion. [PDF]
Front Plant SciLi Y +5 more
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Multi-scale feature fusion and feature calibration with edge information enhancement for remote sensing object detection. [PDF]
Sci RepYang L, Gu Y, Feng H.
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An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion [PDF]
Ehsan Sadeghi Pour +2 more
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Monocular Depth Estimation With Multi-Scale Feature Fusion
IEEE Signal Processing Letters, 2021Depth estimation from a single image is a crucial but challenging task for reconstructing 3D structures and inferring scene geometry. However, most existing methods fail to extract more detailed information and estimate the distant small-scale objects well.
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Lightweight silkworm recognition based on Multi-scale feature fusion
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Multi-scale Feature Fusion Network for Blind Deblurring
2021 6th International Conference on Image, Vision and Computing (ICIVC), 2021Blind deblurring is a challenging problem as the blur kernel is unknown. In recent years, most blind deblurring methods are based on deep neural networks, but their models cannot effectively utilize the information of multi-scale features. To solve these problems, we propose a new deblurring model. The main structure of this model is an encoder-decoder
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Multi-scale Feature Fusion Based Dongba Character Recognition
2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020Dongba characters are hieroglyphs still used by The Naxi nationality in Yunnan province, and have a long history which is called “living fossils” of characters. In view of the neglect of the influence of similar characters on the recognition accuracy and the absence of the construction and application of relevant models in the existing studies on ...
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Multi-Scale Feature Fusion Network for Low-Dose CT Denoising
Journal of Digital Imaging, 2023Computed tomography (CT) is an imaging technique extensively used in medical treatment, but too much radiation dose in a CT scan will cause harm to the human body. Decreasing the dose of radiation will result in increased noise and artifacts in the reconstructed image, blurring the internal tissue and edge details.
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