ANT
发表于 2025-3-30 11:41:48
Vehicle Mechanical and Electronic Systemslity of processing them manually, the automatic processing of these documents is becoming increasingly necessary in certain sectors. However, this task remains challenging, since in most cases a text-only based parsing is not enough to fully understand the information presented through different com
让步
发表于 2025-3-30 15:37:01
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健壮
发表于 2025-3-30 17:36:43
https://doi.org/10.1007/978-1-4615-1491-6nerate a coherent and fluent summary for multiple documents using natural language generation techniques. In this paper, we consider the unsupervised abstractive MDS setting where there are only documents with no ground truth summaries provided, and we propose Absformer, a new Transformer-based meth
不爱防注射
发表于 2025-3-30 20:56:30
https://doi.org/10.1007/978-3-642-99338-1fields of research, including psychology, computer science and artificial intelligence. Automatic detection of age, gender, handedness, nationality, and qualification of writers based on handwritten documents has several real-world applications, such as forensics and psychology. This paper proposes
Obscure
发表于 2025-3-31 02:37:48
https://doi.org/10.1007/978-3-642-99338-1ognition have been developed in the literature. This paper presents a new ensemble model based on the Feedforward Neural Networks (FFNN) to accurately recognize Persian and Arabic handwritten characters. As training and optimizing FFNN models have a significant role in obtaining optimal results, two
镶嵌细工
发表于 2025-3-31 07:28:31
K. Jellinger,G. P. Reynolds,P. Riedererought by the curvilinear nature of writing and lack of quality datasets. This paper solves the segmentation problem by introducing a state-of-the-art method (. (. .)) that combines a deep learning-based object detection framework (YOLO) with Hough and Affine transformation for skew correction. Howev
aggressor
发表于 2025-3-31 11:57:07
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ineluctable
发表于 2025-3-31 17:12:17
C. G. Gottfries,Rolf Adolfsson,Bengt Winbladertical Attention Network and Word Beam Search. The attention module is responsible for internal line segmentation that consequently processes a page in a line-by-line manner. At the decoding step, we have added a connectionist temporal classification-based word beam search decoder as a post-process
昏迷状态
发表于 2025-3-31 19:58:25
E. S. Garnett,G. Firnau,C. Nahmiasind important local parts. The local parts with larger attention are then considered important. The proposed mechanism can be trained in a quasi-self-supervised manner that requires no manual annotation other than knowing that a set of character images are from the same font, such as .. After confir
失望未来
发表于 2025-3-31 22:17:56
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