根深蒂固
发表于 2025-3-21 18:39:22
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光滑
发表于 2025-3-21 22:23:24
Kellyn Pot’vinally, the node-level attention aims to learn the importance between a node and its meta-path based neighbors, while the semantic-level attention is to learn the importance of different meta-paths. This mechanism contributes to effectively embedding users and ROIs in a hierarchical manner of fully co
不连贯
发表于 2025-3-22 03:45:21
Mladen Prajdićlf; Second, modify the feature pyramid network to improve the detection performance of small-scale ships by enhancing feature receptive fields; third, introduce the IoU loss branch to further improve the detection and positioning accuracy; finally, the feature distillation is applied to handle the p
sulcus
发表于 2025-3-22 07:55:32
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concubine
发表于 2025-3-22 11:50:24
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Evocative
发表于 2025-3-22 14:19:02
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ALERT
发表于 2025-3-22 20:30:06
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卷发
发表于 2025-3-22 23:53:53
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ornithology
发表于 2025-3-23 04:43:11
Wendy Pastrick to softmax layer for classification. To avoid overfitting problem in the training process, the dropout regularization technique is adopted. We have used a dataset of 84,000 character images for training and testing our model. The experimental result shows satisfactory outputs and eventually achieve
Heresy
发表于 2025-3-23 06:32:08
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