allergen
发表于 2025-3-25 06:49:05
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Pander
发表于 2025-3-25 10:58:54
Weitere Möglichkeiten — Ausblickd Network (OSAPN). The experimental results show that our method can predict the comments, which are more closely aligned to aesthetic topics than those produced by the previous models. Through the evaluation criteria of image captioning, the specially designed model outperforms other methods.
闷热
发表于 2025-3-25 12:18:26
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critic
发表于 2025-3-25 17:39:31
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高度
发表于 2025-3-25 22:46:57
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Abrade
发表于 2025-3-26 02:52:33
,Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition,ich are proposed to enhance the spatio-temporal expression ability of the model. On cross-subject benchmark and cross-view benchmark of NTU-RGB+D datasets, the proposed model achieves 88.60% and 97.16% accuracy respectively, and 35.62% accuracy on the Kinetics dataset. On both datasets, our method outperforms state-of-the-art methods.
Tempor
发表于 2025-3-26 08:16:43
,Aesthetic Multi-attributes Captioning Network for Photos,d Network (OSAPN). The experimental results show that our method can predict the comments, which are more closely aligned to aesthetic topics than those produced by the previous models. Through the evaluation criteria of image captioning, the specially designed model outperforms other methods.
Allodynia
发表于 2025-3-26 11:08:44
Improving Road Extraction in Hyperspectral Data with Deep Learning Models,osed method improves the average per-class accuracy by more than 18% over the traditional methods, demonstrating its potential to optimize road extraction from hyperspectral data. Further research can focus on improving the accuracy and efficiency of road network extraction from hyperspectral data.
Communicate
发表于 2025-3-26 15:18:35
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choroid
发表于 2025-3-26 16:53:30
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