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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02437-9
Abstract: With the increasing demand for application scenarios such as autonomous driving and drone aerial photography, it has become a challenging problem that how to achieve the best trade-off between segmentation accuracy and inference speed while…
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Keywords:
asymmetric network;
real time;
efficient asymmetric;
segmentation ... See more keywords
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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3219724
Abstract: Real-time semantic segmentation of aerial imagery is essential for unmanned ariel vehicle applications, including military surveillance, land characterization, and disaster damage assessments. Recent real-time semantic segmentation neural networks promise low computation and inference time, appropriate…
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Keywords:
time;
time semantic;
flooding events;
segmentation ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3224526
Abstract: Existing real-time semantic segmentation models usually pursue lower inference costs by compressing spatial resolution, reducing the number of feature extraction layers, or simplifying the high-resolution generation process. This inevitably leads to huge information loss and…
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Keywords:
time semantic;
resolution;
segmentation;
real time ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3150350
Abstract: Real-time semantic segmentation, which aims to achieve high segmentation accuracy at real-time inference speed, has received substantial attention over the past few years. However, many state-of-the-art real-time semantic segmentation methods tend to sacrifice some spatial…
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Keywords:
network;
time semantic;
segmentation;
real time ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3132026
Abstract: With the development of deep learning, semantic segmentation has received considerable attention within the robotics community. For semantic segmentation to be applied to mobile robots or autonomous vehicles, real-time processing is essential. In this article,…
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Keywords:
network;
time;
time semantic;
real time ... See more keywords