Jul 23, 2024 · We employ a convolutional self-encoder model characterized by high recognition accuracy and robust performance. ... However, in large-scale handwritten Chinese ...
Jul 20, 2024 · The objective of category prototype learning in few-shot action recognition is to learn representative and generalized action representations for novel ...
3 days ago · Chinese character image inpainting aims to restore the missing textual regions with realistic contents. Existing algorithms for text image inpainting are ...
Jul 5, 2024 · The training and inference of large language models (LLMs) are together a costly process that transports knowledge from raw data to meaningful computation.
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Jul 22, 2024 · 0–2.2 benchmark and the IAHCT-UCAS2018 in-air handwritten Chinese text dataset, show that our approach achieves higher recognition accuracy, faster computation ...
4 days ago · For the poor effect of few-shot text classification caused by insufficient data for feature representation, this paper combines wide and deep attention.
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Jul 16, 2024 · Zero-shot learning enables a pre-trained AI model to make predictions on unseen data. Learn what zero-shot learning is, its types, methods, applications, ...
4 days ago · We propose a false information detection method that combines model-generated text discrimination based on a self-attention network with text similarity ...
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6 days ago · Cryogenic system of the high performance 1.3 GHz 9-cell superconducting radio frequency prototype cryomodule ... China's first high-quality factor 1.3 GHz ...
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Jul 17, 2024 · The model's performance in tasks such as intralingual translation and text ... systems, but it constitutes a more challenging classification task than MNIST.
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