Virtues
发表于 2025-3-25 05:15:22
Shinichi Ichimura,Tsuneaki Satority and monotonicity to predict the quality of document images. Based on the proposed network along with the new losses, the obtained DCNN achieves the state-of-the-art quality assessment performance on the public datasets. The source codes and pre-trained models are available at ..
curettage
发表于 2025-3-25 09:28:57
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青少年
发表于 2025-3-25 11:50:57
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包裹
发表于 2025-3-25 18:55:06
Adapting OCR with Limited Supervisionii) Fine Tuning + Self Training. We discuss details on how these popular approaches in Machine Learning can be adapted to the text recognition problem of our interest. We hope, our empirical observations on two different languages will be of relevance to wider use cases in text recognition.
整理
发表于 2025-3-25 22:48:29
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Myofibrils
发表于 2025-3-26 01:17:04
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BIPED
发表于 2025-3-26 07:37:12
Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Networkth Constraint (LSC) in regularization. Our approach is easy to implement and consumes moderate computing resource. Experiments proved that our approach can dewarp document images effectively under various geometric distortions, and has achieved the state-of-the-art performance in terms of local details and overall effect.
结果
发表于 2025-3-26 10:45:57
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设施
发表于 2025-3-26 16:26:49
Conference proceedings 2020wing topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification..Due to the Corona pandemic the conference was held as a virtual event ..
丑恶
发表于 2025-3-26 20:35:03
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