Articles with "multi attention" as a keyword



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Aspect-based sentiment classification with multi-attention network

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.01.024

Abstract: Abstract Aspect-based sentiment classification aims to predict the sentiment polarity of an aspect term in a sentence instead of the sentiment polarity of the entire sentence. Neural networks have been used for this task, and… read more here.

Keywords: based sentiment; multi attention; sentiment; aspect based ... See more keywords
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Defects Inspection in Polycrystalline Solar Cells Electroluminescence Images Using Deep Learning

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2976843

Abstract: Solar cells defects inspection plays an important role to ensure the efficiency and lifespan of photovoltaic modules. However, it is still an arduous task because of the diverse attributes of electroluminescence images, such as indiscriminative… read more here.

Keywords: solar cells; electroluminescence images; attention; defects inspection ... See more keywords
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MATNet: A Combining Multi-Attention and Transformer Network for Hyperspectral Image Classification

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3254523

Abstract: Hyperspectral image (HSI) has rich spatial–spectral information, high spectral correlation, and large redundancy between information. Due to the sparse background distribution of HSI, the existing methods generally perform poorly for the classification of class pixels… read more here.

Keywords: network; matnet; classification; multi attention ... See more keywords
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Multi-Attention-Guided Cascading Network for End-to-End Person Search

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13095576

Abstract: The key procedure is to accurately identify pedestrians in complex scenes and effectively embed features from multiple vision cues. However, it is still a limitation to coordinate two tasks in the unified framework, thus leading… read more here.

Keywords: network; multi attention; person search; search ... See more keywords