Fresco
发表于 2025-3-23 11:51:04
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独白
发表于 2025-3-23 16:47:18
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GROG
发表于 2025-3-23 21:50:13
Dominik Linggit, the same is not true in general when considering other similar test sets, where models trained with our synthetic datasets surpassed models trained with real data. These results hint that synthetic datasets may provide better generalization than real data, when the testing data is outside of the
BINGE
发表于 2025-3-24 02:10:23
the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can
maverick
发表于 2025-3-24 02:35:46
Dominik Linggimage with the sub-datasets. In this study, sub-dataset generation and matching methods are proposed to improve the performance of crack detection in brick walls using CNN. CNN training is conducted with each sub-dataset generated by the proposed sub-dataset generation method, while crack detection i
OUTRE
发表于 2025-3-24 07:44:17
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NICHE
发表于 2025-3-24 13:57:11
Dominik Linggial networks’ remarkable susceptibility to approximations of their execution meaning that rather aggressive approximations can be made without sacrificing the model’s predictive capabilities. To properly study this codesign, a design flow must be constructed to accurately account for approximation bo
FLOAT
发表于 2025-3-24 16:24:33
Dominik Linggi our dataset and explored potential methods for increasing their performances. We show that current action recognition models and frame enhancement methods may not be effective solutions for the task of action recognition in dark videos (data available at .).
Proclaim
发表于 2025-3-24 19:20:53
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管理员
发表于 2025-3-25 00:04:07
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