细微的差异
发表于 2025-3-25 06:38:54
F. A. Gianturco,V. Staemmlerlong short-term memory are inefficient and not parallelizable. Moreover, n-gram language models and beam search algorithm were commonly adopted by many existing systems as a part of post-processing, resulting in extremely low speed and large footprint. To this end, we propose a fast, accurate and co
破布
发表于 2025-3-25 09:52:48
William J. Meath,Daniel J. Margoliash,B. L. Jhanwar,A. Koide,G. D. Zeissrupting characters. It is especially difficult for languages where syllables are written by alphabetic letters arranged in two dimensions. Sequence learning architectures have a lot of potential to be applied for solving this type of tasks because they can access global and local contextual informat
话
发表于 2025-3-25 11:56:45
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啜泣
发表于 2025-3-25 18:16:30
Christian Votava,Reinhart Ahlrichsvices places stringent requirements on different aspects of embedded machine learning models, which results in finding a trade-off between model performance and model complexity. In this work, a novel hierarchical deep neural network (HDNN) architecture with high computational efficiency is proposed
CHAR
发表于 2025-3-25 22:09:13
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aspect
发表于 2025-3-26 01:55:10
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apropos
发表于 2025-3-26 07:27:15
Robert A. Pierotti,Stephen L. Parrott,Mark A. Tallentexclusive one another. As various applications emerge, besides large instance size and high feature dimensionality, the dimensionality of label space also grows quickly, which would increase computational costs and even deteriorate classification performance. To this end, dimensionality reduction st
inundate
发表于 2025-3-26 11:14:34
Werner A. P. Luckifficult to use rectangular bounding boxes to detect text locations accurately. To detect multi-oriented text, rotated bounding box-based methods have been explored as an alternative. However, they are not as accurate for scene text detection as rectangular bounding box-based methods. In this paper,
Graduated
发表于 2025-3-26 16:30:53
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CHIDE
发表于 2025-3-26 18:32:32
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