的阐明
发表于 2025-3-26 21:58:08
Compositional Learning for Human Object Interactionto compose classifiers for verb-noun pairs. We also provide benchmarks on several dataset for zero-shot learning including both image and video. We hope our method, dataset and baselines will facilitate future research in this direction.
轻快走过
发表于 2025-3-27 02:31:58
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linguistics
发表于 2025-3-27 06:51:09
https://doi.org/10.1007/978-94-007-5089-0c on the target platform, beyond only considering FLOPs. Based on a series of controlled experiments, this work derives several practical . for efficient network design. Accordingly, a new architecture is presented, called .. Comprehensive ablation experiments verify that our model is the state-of-the-art in terms of speed and accuracy tradeoff.
cogent
发表于 2025-3-27 12:13:40
Social Forces, Space and Boundariess of data are added and trained on. (iii) A novel loss function, which takes into account both the geometry of the problem and the new types of data, is propose. Our network allows a substantial boost in performance: from 36.1% gained by SOTA algorithms to 45.9%.
共同给与
发表于 2025-3-27 16:25:18
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处理
发表于 2025-3-27 20:19:43
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Aspirin
发表于 2025-3-27 22:08:15
https://doi.org/10.1007/978-1-349-14314-6 make the solution numerically efficient. The resulting tomographic reconstruction is more accurate than traditional CT, while enabling significant dose reduction and chemical decomposition. Demonstrations include both simulations based on a standard medical phantom and a real scattering tomography experiment.
方舟
发表于 2025-3-28 03:00:37
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过分自信
发表于 2025-3-28 09:59:18
X-Ray Computed Tomography Through Scatter make the solution numerically efficient. The resulting tomographic reconstruction is more accurate than traditional CT, while enabling significant dose reduction and chemical decomposition. Demonstrations include both simulations based on a standard medical phantom and a real scattering tomography experiment.
cutlery
发表于 2025-3-28 10:42:35
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