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Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.22553
Abstract: Mobile robotic sprayers are expected to be employed in outdoor insecticide applications for mosquito control, epidemic prevention, and disinfection. To achieve this, a comprehensive 3D environmental model integrating both semantic and geometric information is indispensable…
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Keywords:
mobile robotic;
segmentation;
joint semantic;
mapping ... See more keywords
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Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00992-y
Abstract: Zero-shot learning (ZSL) is a transfer learning paradigm that aims to recognize unseen categories just by having a high-level description of them. While deep learning has greatly pushed the limits of ZSL for object classification,…
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Keywords:
semantic encoder;
encoder;
joint semantic;
zero shot ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3541895
Abstract: The utilization of both optical and synthetic aperture radar (SAR) images for joint semantic segmentation enhances the accuracy of land use classification. Recent advancements in multimodal fusion models, particularly those using self-attention mechanisms and convolutional…
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Keywords:
joint semantic;
segmentation network;
semantic segmentation;
sar images ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3186714
Abstract: Supervised cross-modal image-text hashing has aroused extensive concentrations in comprehending the correspondence between vision and language for data search tasks. Existing methods learn the compact hash codes by leveraging a given image-text data pairs or…
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Keywords:
joint semantic;
semantic alignment;
cross modal;
image text ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5680971
Abstract: Determining the temporal relationship between events has always been a challenging natural language understanding task. Previous research mainly relies on neural networks to learn effective features or artificial language features to extract temporal relationships, which…
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Keywords:
information;
joint semantic;
syntactic attention;
semantic syntactic ... See more keywords