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Published in 2020 at "Information Processing in Agriculture"
DOI: 10.1016/j.inpa.2020.10.001
Abstract: Abstract It is of great significance to use underwater video and image processing technology to detect and analyze fish behaviors. In this paper, an Oplegnathus image dataset for fish behaviors study by deep learning algorithm…
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Keywords:
scale features;
fish behaviors;
method;
multi scale ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3183932
Abstract: The learning and aggregation of multi-scale features are essential in empowering neural networks to capture the fine-grained geometric details in the point cloud upsampling task. Most existing approaches extract multi-scale features from a point cloud…
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Keywords:
point cloud;
cloud upsampling;
multi scale;
scale features ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3199145
Abstract: Window self-attention based Transformer receives the advanced results in image denoising. However, the current methods still have some limitations in capturing the global dependencies and local responses. To tackle these problems, this paper proposes a…
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Keywords:
cross scale;
scale;
scale features;
image denoising ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13116775
Abstract: Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers…
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Keywords:
multi scale;
essay scoring;
method based;
based multi ... See more keywords