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Jan 11, 2024 · We propose a prototype-based framework for large-scale continual learning. •. The proposed strategies in the initial stage are good for continual learning.
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Nov 24, 2023 · Abstract. We present a novel approach for automatically classifying illustrations from historical Chinese local gazetteers using modern deep learning techn.
Aug 21, 2023 · In this paper, we proposed a learning method for segmentation-based online handwritten Chinese text recognition with a convolutional prototype network as the ...
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Mar 25, 2024 · Prototype learning has achieved good performance in many fields, showing higher flexibility and generalization. In this paper, we propose an efficient text line ...
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Sep 22, 2023 · ... Chinese text classification. ... These results indicate that both LSTM and TextCNN classifiers showed improved performance after text enhancement, with higher ...
Oct 13, 2023 · Specifically, we train the CCR-CLIP model on several Chinese character recognition benchmarks to evalu- ate its performance on CCR. The experimental results ...
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Apr 19, 2024 · The tool demonstrates a high classification accuracy of 98.54%, while also ... This disparity between high reported performance and actual reliability ...
Oct 28, 2023 · Few-shot named entity recognition (FS-NER) aims at identifying entities from plain text via a handful of samples. Many efforts based on prototype learning ...
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Apr 14, 2024 · Researchers at Tsinghua University in China have developed a revolutionary new AI chip that uses light instead of electricity to process data. Dubbed “Taichi,” ...
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Oct 15, 2023 · This paper first provides an overview of Chinese character recognition and the properties of Chinese characters. Some important methods and successful results ...