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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2928983
Abstract: Certain correlation exists between various expressions of the human face, yet few works have explored it. In this paper, we propose to recognize facial expressions by extracting independent expressive representation through a novel learning procedure,…
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Keywords:
expression;
inter class;
relational learning;
class relational ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257859
Abstract: Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy. In order to solve the problems, based on traditional k-means algorithm, considering the importance of different bands for classification,…
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Keywords:
spectral angle;
classification;
class;
inter class ... See more keywords
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Published in 2024 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2024.3369410
Abstract: Deep learning-based hyperspectral unmixing (HU) is getting increasing attention in the field of remote sensing, aiming at endmember extraction and abundance estimation at pixel scale. However, many existing deep learning-based unmixing methods base on linear…
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Keywords:
two stream;
inter class;
separability;
class separability ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3585925
Abstract: Few-shot food recognition aims to first train a meta-model based on an extensive labeled dataset, and then adapt it to recognize novel food classes with limited labeled data. Although existing studies have achieved compelling success,…
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Keywords:
food;
inter class;
class;
intra class ... See more keywords
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1
Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3195735
Abstract: Few-shot object detection has been extensively investigated by incorporating meta-learning into region-based detection frameworks. Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality region proposals for novel classes…
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Keywords:
inter class;
meta;
meta detr;
detection ... See more keywords
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Published in 2025 at "Structural Health Monitoring"
DOI: 10.1177/14759217251329289
Abstract: In unsupervised domain adaptation (UDA), existing methods primarily focus on reducing the distributional discrepancy between domains, often neglecting domain shifts and intra-domain variances. A lightweight intra-class and inter-class domain adaptive network (LIIDAN) is proposed to…
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Keywords:
inter class;
class inter;
class;
intra class ... See more keywords
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Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8091681
Abstract: Neural style transfer, which has attracted great attention in both academic research and industrial engineering and demonstrated very exciting and remarkable results, is the technique of migrating the semantic content of one image to different…
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Keywords:
style;
style transfer;
inter class;
class relationships ... See more keywords