Titlebook: Document Analysis and Recognition – ICDAR 2024 Workshops; Athens, Greece, Augu Harold Mouchère,Anna Zhu Conference proceedings 2024 The Edi

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書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops影響因子(影響力)學(xué)科排名




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書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops年度引用學(xué)科排名




書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops讀者反饋




書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops讀者反饋學(xué)科排名

基因組

TrOCR Meets Language Models: An End-to-End Post-correction Approachmodel with a language model (LM) that serves as a corrector. This integration addresses three principal challenges: over-correction, which compromises text authenticity; poor domain adaptation; and the scarcity of annotated images. We explore the synergy between TrOCR, a state-of-the-art OCR model,

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: Domain Adaptive Document Restoration with?a?Layer Separation Approachaditional methods often falter with variable document types, leading to poor performance. To overcome these limitations, this paper introduces a text-graphic layer separation approach that enhances domain adaptability in document image restoration (DIR) systems. We propose ., which utilizes two laye

anticipate

Normalized vs Diplomatic Annotation: A Case Study of?Automatic Information Extraction from?Handwrittndwritten in Spanish. We investigate two annotation strategies for automatically transcribing handwritten documents, fine-tuning DAN with minimal training data and annotation effort. Experiments were conducted on two datasets containing?the same images (201 scans of birth certificates written by mor

分離

Diminutives in Political Discourse – The Case of Serbian and Slovenianhis paper draws comparisons between the use of diminutives in the ParlaMint-RS 4.0 (Serbian parliament) and ParlaMint-SI 4.0 (Slovenian parliament) corpora [.]. Our findings reveal a distinctive pattern within political discussions: the employment of diminutives, particularly when referring to entit

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adjacent

Retrieving and?Analyzing Translations of?American Newspaper Comics with?Visual Evidencen comics’ text features, thereby largely ignoring comics’ heavily visual dimension. Image classification applications for comics focus primarily on genre and artist attribution. This paper bridges the gap between these areas by investigating image classification model accuracy for identifying transl

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