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pro vyhledávání: '"Cheng, Changxu"'
The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR) only work well on short or seen-length text, lacking the capability of
Externí odkaz:
http://arxiv.org/abs/2308.12774
Visual information extraction (VIE) plays an important role in Document Intelligence. Generally, it is divided into two tasks: semantic entity recognition (SER) and relation extraction (RE). Recently, pre-trained models for documents have achieved su
Externí odkaz:
http://arxiv.org/abs/2304.10759
Publikováno v:
In Technological Forecasting & Social Change October 2024 207
Semantic information has been proved effective in scene text recognition. Most existing methods tend to couple both visual and semantic information in an attention-based decoder. As a result, the learning of semantic features is prone to have a bias
Externí odkaz:
http://arxiv.org/abs/2111.12351
Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem. We propose to apply Maximum Entropy Regularizati
Externí odkaz:
http://arxiv.org/abs/2007.04651
Script identification in the wild is of great importance in a multi-lingual robust-reading system. The scripts deriving from the same language family share a large set of characters, which makes script identification a fine-grained classification pro
Externí odkaz:
http://arxiv.org/abs/1912.03818