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Published in 2020 at "Journal of Shanghai Jiaotong University (science)"
DOI: 10.1007/s12204-020-2184-1
Abstract: Nowadays, the Internet has penetrated into all aspects of people’s lives. A large number of online customer reviews have been accumulated in several product forums, which are valuable resources to be analyzed. However, these customer…
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Keywords:
conditional random;
reviews conditional;
fine;
grained opinion ... See more keywords
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Published in 2020 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.118104
Abstract: Abstract Alternative sands such as manufactured sands and dune sands are commonly used due to the shortage and depletion of reserve and supply of natural aggregates in many areas. These alternative sands usually have much…
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Keywords:
materials bio;
bio inspired;
inspired functionalization;
fine ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.068
Abstract: Abstract Recommender system uses user-item historical interactions to portray user preferences. Due to the problem of data sparseness, auxiliary information is introduced to describe user preferences, such as user/item attribute information. However, some of these…
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Keywords:
user fine;
fine;
user preferences;
fine grained ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938537
Abstract: Existing fine-grained categorization methods predominantly conquer challenges independently, while neglecting the fact that patch proposal and feature extraction can reinforce each other. This necessitates to extract the domain-specific representations and localize key (most discriminative) patches…
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Keywords:
increasingly specialized;
fine;
butterfly specimens;
specialized perception ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2980431
Abstract: Fine-grained Named entity recognition (NER) is crucial to natural language processing (NLP) applications like relation extraction and knowledge graph construction. Most existing fine-grained NER systems suffer from inefficiency problem as they use manually annotated training…
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Keywords:
grained named;
fine;
named entity;
fine grained ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3399310
Abstract: Fine-grained ocean ship classification plays a crucial role in maritime military surveillance, traffic management, and antismuggling operations. However, the complex backgrounds of remote sensing images (RSIs), as well as significant interclass similarities and intraclass differences,…
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Keywords:
grained ocean;
fine grained;
ship classification;
network ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3415809
Abstract: Fine-grained remote sensing object detection aims at precisely locating objects and determining the fine-level categories. This task is exceptionally challenging due to the substantial interclass similarity, presenting difficulties in capturing discriminative features. We attribute this…
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Keywords:
object detection;
dima;
fine grained;
digging multigranular ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3523802
Abstract: Existing fine-grained visual categorization (FGVC) methods assume that the fine-grained semantics rest in the informative parts of an image. This assumption works well on favorable front-view object-centric images, but can face great challenges in many…
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Keywords:
grained visual;
fine grained;
visual categorization;
concept ... See more keywords
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Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3427406
Abstract: While deep learning-based RF perception has received significant attention in recent years, the requirement for massive labeled RF data has hindered its further advancement. Despite existing efforts in synthesizing signals, they fail to accurately calculate…
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Keywords:
radar signal;
fine grained;
grained radar;
fine ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15052437
Abstract: For fine-grained recognition, capturing distinguishable features and effectively utilizing local information play a key role, since the objects of recognition exhibit subtle differences in different subcategories. Finding subtle differences between subclasses is not straightforward. To…
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Keywords:
classification;
weakly supervised;
fine grained;
attention ... See more keywords
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Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10112170
Abstract: Bone age assessment (BAA) based on X-ray imaging of the left hand and wrist can accurately reflect the degree of the body’s physiological development and physical condition. However, the traditional manual evaluation method relies too…
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Keywords:
bone age;
bone;
age assessment;
fine ... See more keywords