hangdog
发表于 2025-3-25 06:41:49
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Herd-Immunity
发表于 2025-3-25 11:06:41
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Infirm
发表于 2025-3-25 12:06:20
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填满
发表于 2025-3-25 16:24:34
Miki Seko improvements over several leading methods under both 1-shot and 5-shot settings. Furthermore, we remove thoroughly the support set and apply the AUGNet under zero-shot setting. Experimental results illustrate its equal effectiveness under this extended segmentation task.
adj忧郁的
发表于 2025-3-25 21:47:39
Miki Sekos. The SADF employs knowledge distillation, featuring a teacher model enhanced by additional relevant queries and a student model that learns from the teacher using a single query through distillation loss. By integrating MGFNet backbone and SADF framework, our AENet achieves improved cross-modal al
加强防卫
发表于 2025-3-26 03:00:06
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Favorable
发表于 2025-3-26 06:45:43
Miki Seko evaluate the proposed model on various benchmark datasets and compared our results with several baseline graph neural network methods. CTQW-GraphSAGE achieves comparable results to the classical models on most of the selected datasets on node classification tasks.
enlist
发表于 2025-3-26 10:37:28
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Charade
发表于 2025-3-26 14:20:51
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消耗
发表于 2025-3-26 18:40:50
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