deteriorate
发表于 2025-3-21 16:52:35
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Myofibrils
发表于 2025-3-21 22:40:04
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nuclear-tests
发表于 2025-3-22 01:38:37
Currently Available Systems: METALare generated using an automated multi-directional steerable filters approach. The generated wall masks are then validated and corrected manually. We validate our approach of wall-mask generation in state-of-the-art modern datasets. Finally we propose a U-net based convolutional framework for wall d
TEN
发表于 2025-3-22 06:08:22
Children in Translocal Familiess on cTDaR 2019 Archival dataset show that our method can outperform the baselines and achieve new state-of-the-art performance, which demonstrates the effectiveness and superiority of the proposed method.
违抗
发表于 2025-3-22 09:49:54
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gerrymander
发表于 2025-3-22 13:53:43
The Abject, Murder, and Sex in ,+ntic features are extracted using a . network, which are . fused to make full use of complementary information. Finally, given component candidates, a . based on graph neural network is incorported to model relations between components and output final results. On three popular benchmarks, VSR outpe
gerrymander
发表于 2025-3-22 18:03:50
https://doi.org/10.1007/978-981-10-8609-0d applications. The core . library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks. To promote extensibility, . also incorporates a community platform for sharing both pre
生气的边缘
发表于 2025-3-22 23:32:53
https://doi.org/10.1007/978-94-007-2315-3ression algorithms can be successfully applied for the task of document image classification. We further analyze the impact of model compression on network outputs and highlight the discrepancy that arises during the compression process. Building on recent findings in this direction, we employ a pri
DEAF
发表于 2025-3-23 03:37:58
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自制
发表于 2025-3-23 06:13:34
Translocality in Contemporary City Novelsof the proposed model on the three datasets: IAM Handwriting, Rimes, and TUAT Kondate. The experimental results show that the proposed model achieves similar or better accuracy when compared to state-of-the-art models in all datasets.