吃掉
发表于 2025-3-28 16:04:02
Susan B. Racette,Sai Krupa Daslly adapted to Information Extraction in business documents. However, most pre-training tasks proposed in the literature for business documents are too generic and not sufficient to learn more complex structures. In this paper, we use LayoutLM, a language model pre-trained on a collection of busines
一瞥
发表于 2025-3-28 22:34:22
lly adapted to Information Extraction in business documents. However, most pre-training tasks proposed in the literature for business documents are too generic and not sufficient to learn more complex structures. In this paper, we use LayoutLM, a language model pre-trained on a collection of busines
未成熟
发表于 2025-3-29 01:09:19
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Pessary
发表于 2025-3-29 06:23:40
acter recognition (OCR) accuracy. However, even despite the ill-posed nature of image super-resolution (SR) problem, how do we treat the finer details of text with large upscale factors and suppress noises and artifacts at the same time, especially for low quality document images is still a challeng
Offensive
发表于 2025-3-29 09:26:09
Shaunak Deota,Emily N. C. Manoogiannatural to develop data preprocessing and augmentation techniques, which, however, have not been fully explored. In this paper, we propose a data preprocessing and augmentation pipeline and a CNN-ResLSTM model for high-performance offline HCTR. The data preprocessing and augmentation pipeline consis
placebo
发表于 2025-3-29 12:44:15
Courtney M. Petersonthe . as a reliable module. As of now, Indian languages are far away from this state, which is unfortunate. Beyond many challenges due to script and language, this space is adversely affected by the scattered nature of research, lack of systematic evaluation, and poor resource dissemination. In this