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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936914
Abstract: Object tracking based on visible images may fail when the visible images are unreliable, for example when the illumination condition is poor. Infrared images reveal thermal radiation of objects and are insensitive to these factors.…
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Keywords:
rgb infrared;
fusion;
infrared fusion;
siamese networks ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143847
Abstract: A critical aim of pansharpening is to fuse coherent spatial and spectral features from panchromatic and multispectral images respectively. This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale…
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Keywords:
multi;
framework;
siamese network;
network ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3135005
Abstract: RF transmitter identification is facing a big challenge since the increasing use of wireless devices in recent years. Traditional methods for identification are implemented by choosing specific rapid fingerprints manually, which fails to distinguish threats…
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Keywords:
identification using;
identification;
siamese networks;
combined siamese ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2959256
Abstract: Learning a powerful feature representation is critical for constructing a robust Siamese tracker. However, most existing Siamese trackers learn the global appearance features of the entire object, which usually suffers from drift problems caused by…
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Keywords:
fast tracking;
tracker;
local semantic;
semantic siamese ... See more keywords