School bullying has multiple negative impacts on the physical and mental health of children, with the situation being particularly severe for rural children in China. Serious games, which combine educational and enter...
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Traditional few-shot learning methods rely on extensive training data, where the model is trained with a large dataset and then tested with a few-shot learning task to make predictions. Recently, with the advancement ...
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Sorting algorithms are the most extensively researched topics in computerscience and serve for numerous practical applications. Although various sorts have been proposed for efficiency, different architectures offer ...
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In diabetes management, identifying glycemic patterns leading to hypoglycemia, i.e., low blood glucose, plays a key role in preventing, recognizing, and treating hypoglycemic complications and stabilizing the blood gl...
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Interdisciplinary collaboration has emerged as a pivotal driver of academic progress and innovation. As researchers work across disciplinary boundaries, it becomes imperative to identify and examine the factors that a...
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Encoder stealing attacks pose a new challenge for ensuring the protection of security and safety of those models. Malicious users aim to replicate the target encoder’s functionality by training a stolen encoder with ...
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Surveillance videos play a crucial role in providing evidences. However, the deletion of even a few frames can significantly impact the interpretation of events, while the deletion can be performed easily using video ...
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For traffic incident detection, the acquisition of data and labels is notably resource-intensive, rendering semi-supervised traffic incident detection both a formidable and consequential challenge. Thus, this paper fo...
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Automatic Music Transcription (AMT) of piano music is a well-established study area. This paper addresses the broader problem of generating MIDI piano covers for pop music automatically. This is a more challenging tas...
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Recent advancements in Visual Question Answering (VQA) have been driven by the integration of complex attention mechanisms. This work introduces a novel approach aimed at enhancing multi-modal representations through ...
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