Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.050
Abstract: Abstract Ship detection plays a crucial role in remote sensing image processing, which has drawn great attention in recent years. A novel neural network architecture named squeeze excitation skip-connection path networks (SESPNets) is proposed. A… read more here.
Keywords: connection; skip connection; ship detection; squeeze excitation ... See more keywords
Deep convolutional neural network based on densely connected squeeze-and-excitation blocks
Sign Up to like & getrecommendations! Published in 2019 at "AIP Advances"
DOI: 10.1063/1.5100577
Abstract: Convolutional neural networks have achieved great successes in many visual tasks, as well as a good performance in various applications. However, research has yet to solve the practical problem of how to improve the recognition… read more here.
Keywords: densely connected; squeeze excitation; network; convolutional neural ... See more keywords
Acoustic Scene Classification With Squeeze-Excitation Residual Networks
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DOI: 10.1109/access.2020.3002761
Abstract: Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.).… read more here.
Keywords: scene; classification; squeeze excitation; acoustic scene ... See more keywords
MODIS Green-Tide Detection With a Squeeze and Excitation Oriented Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3180331
Abstract: This paper presents a novel framework combining spectral analysis and machine learning for green-tide detection. The framework incorporates a squeeze and excitation (SE) attention module into a U-shaped generator of a generative adversarial network (GAN),… read more here.
Keywords: tide detection; generative adversarial; detection; green tide ... See more keywords
Deep Learning Empowered MAC Protocol Identification With Squeeze-and-Excitation Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3126306
Abstract: Medium access control (MAC) protocol identification in the context of cognitive radio is a challenging issue, which is usually solved by the support vector machine (SVM) method. To avoid manual feature extraction in SVM and… read more here.
Keywords: mac protocol; identification; protocol identification; squeeze excitation ... See more keywords
ASARU-Net: superimposed U-Net with residual squeeze-and-excitation layer for road crack segmentation
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023040
Abstract: Abstract. Accurate segmentation of road cracks is vital for identifying cracks in pavements for greater traffic safety. However, owing to blurred boundaries, low contrast between cracks and the surrounding environments, changes in color and shape,… read more here.
Keywords: road; layer; segmentation; squeeze excitation ... See more keywords
Multi-scale retinal vessel segmentation using encoder-decoder network with squeeze-and-excitation connection and atrous spatial pyramid pooling.
Sign Up to like & getrecommendations! Published in 2021 at "Applied optics"
DOI: 10.1364/ao.409512
Abstract: The segmentation of blood vessels in retinal images is crucial to the diagnosis of many diseases. We propose a deep learning method for vessel segmentation based on an encoder-decoder network combined with squeeze-and-excitation connection and… read more here.
Keywords: atrous spatial; network; vessel segmentation; encoder decoder ... See more keywords