令人发腻
发表于 2025-3-28 15:23:12
Translanguaging for Empowerment and Equitycy improves significantly, inference time is halved compared to HTML-based models, and the predicted table structures are always syntactically correct. This in turn eliminates most post-processing needs. Popular table structure data-sets will be published in OTSL format to the community.
无效
发表于 2025-3-28 22:15:19
https://doi.org/10.1007/978-981-99-8589-0able transformer) by +3.4 points on 10% labels of TableBank-both dataset and the previous CNN-based semi-supervised approach (Soft Teacher) by +1.8 points on 10% labels of PubLayNet dataset. We hope this work opens new possibilities towards semi-supervised and unsupervised table detection methods.
使虚弱
发表于 2025-3-29 01:31:46
https://doi.org/10.1007/978-981-99-8589-0 estimation and the combination of deep layer aggregation and corner pooling approaches. The results of our experiments provide extensive evaluation for the task of real-world chart data extraction. Our Code is publicly available (.).
蚀刻
发表于 2025-3-29 04:33:23
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提名的名单
发表于 2025-3-29 10:28:20
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CREEK
发表于 2025-3-29 13:20:45
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杠杆支点
发表于 2025-3-29 16:38:41
https://doi.org/10.1057/9780230289703 and DETR-based Table Transformer; applied to both tasks of the DocILE benchmark, with results shared in this paper, offering a quick starting point for future work. The dataset, baselines and supplementary material are available at ..
咯咯笑
发表于 2025-3-29 19:45:33
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抱狗不敢前
发表于 2025-3-30 03:01:29
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Scleroderma
发表于 2025-3-30 08:00:08
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