有斑点 发表于 2025-3-23 10:31:14

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刻苦读书 发表于 2025-3-23 16:55:17

https://doi.org/10.1007/978-3-662-38004-8e features can be effectively processed without incurring in unwanted information conflict or loss. By associating spatial and time-series information, our attention-based feature-alignment module enhances low-quality spatial regions around subject objects, thus, improving the performance of the mod

面包屑 发表于 2025-3-23 20:28:57

,Drehung bei kreisförmigem Querschnitt,istillation and replay, CPA learns representative information by memorizing character-representative prototypes and augmenting them in new learning phases to better distinguish different characters when the replay data is limited, and SGM augments the prototypes in a reliable way to improves the rel

Outmoded 发表于 2025-3-24 01:42:12

Zug-, Druck- und Scherfestigkeit,ture distant texture correlations, contributing to the consistency and realism of the generated images. Experimental results on MNIST, CIFAR-10, CelebA-HQ, and ImageNet datasets show that our approach significantly improves the diversity and visual quality of the generated images.

BRAVE 发表于 2025-3-24 03:48:22

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障碍 发表于 2025-3-24 09:07:10

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Curmudgeon 发表于 2025-3-24 13:00:15

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线 发表于 2025-3-24 18:14:50

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Phonophobia 发表于 2025-3-24 21:45:27

,CSEDesc: CyberSecurity Event Detection with Event Description, we employ an attention mechanism to fuse sentences with event information and obtain description-aware embeddings. Secondly, in the syntactic graph convolutional networks module, we use GCNs to encode the sentence, which exploits sentence structure information and improves the robustness of sentenc

训诫 发表于 2025-3-25 02:26:15

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查看完整版本: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2023; 32nd International C Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay Confe