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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…
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Keywords:
connection;
skip connection;
ship detection;
squeeze excitation ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.021
Abstract: Abstract In existing state-of-the-art object detectors, feature pyramid networks (FPN) and multiscale feature fusion are still typically used. The traditional FPN fusion strategy is based on the top-down fusion of high-level semantic information. The top-down…
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Keywords:
skip connection;
fusion;
feature;
directional skip ... See more keywords
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Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac468
Abstract: Exiting computational models for drug-target binding affinity prediction have much room for improvement in prediction accuracy, robustness and generalization ability. Most deep learning models lack interpretability analysis and few studies provide application examples. Based on…
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Keywords:
mrbdta;
drug target;
target binding;
drug ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175864
Abstract: In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that simultaneously encode two images. The fusion of early…
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Keywords:
biologically inspired;
skip connection;
skip;
connection unet ... See more keywords
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3
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270303
Abstract: Benefiting from effective global information interaction, vision transformers (ViTs) have been widely used in the building extraction task. However, buildings in remote sensing (RS) images usually differ greatly in size. Mainstream ViT-based segmentation models for…
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Keywords:
information;
dual skip;
vit;
model ... See more keywords
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3
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3276326
Abstract: In order to improve detection performance in a U-net-based IR small target detection (IRSTD) algorithm, it is crucial to fuse low- and high-level features. Conventional algorithms perform feature fusion by adding a convolution layer to…
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Keywords:
full scale;
target detection;
detection;
net ... See more keywords