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Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.03.013
Abstract: Abstract Annual temperature cycle (ATC) models enable the multi-timescale analysis of land surface temperature (LST) dynamics and are therefore valuable for various applications. However, the currently available ATC models focus either on prediction accuracy or…
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Keywords:
generalization ability;
surface;
accuracy;
prediction accuracy ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.036
Abstract: Abstract Convolutional neural networks (CNNs) have attracted considerable attention in many application fields for their great ability to deal with image recognition and object detection tasks. A pooling process is an important process in CNNs,…
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Keywords:
hybrid pooling;
neural networks;
convolutional neural;
generalization ability ... See more keywords
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Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2020.2965166
Abstract: Feature learning with deep neural networks (DNNs) has made remarkable progress in recent years. However, its data-driven nature makes the collection of labeled training data expensive or impossible when the testing domain changes. Here, we…
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Keywords:
generalization ability;
cross domain;
domain;
method ... See more keywords
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Published in 2023 at "Optics express"
DOI: 10.1364/oe.482551
Abstract: Multimode fibers (MMFs) are emerging as promising transmission media for delivering images. However, strong mode coupling inherent in MMFs induces difficulties in directly projecting two-dimensional images through MMFs. By training two subnetworks named Actor-net and…
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Keywords:
generalization ability;
network;
multimode;
projector ... See more keywords