Filament
发表于 2025-3-21 18:22:01
书目名称Advanced Intelligent Computing Technology and Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0167152<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0167152<br><br> <br><br>
大量杀死
发表于 2025-3-21 21:47:59
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创作
发表于 2025-3-22 01:43:13
Mechatronische Fahrwerkregelung,lation experiments, ablation experiments, and generalization experiments. Our model is state-of-the-art and achieves a maximum improvement of 13.07% relative to the baseline on the similar set, particularly on the most challenging novel set with a maximum improvement of 4.06%. In practical experimen
辫子带来帮助
发表于 2025-3-22 06:53:27
https://doi.org/10.1007/978-3-8348-9573-8s feature aggregation across multiple scales, particularly benefiting the detection of small objects. We assessed the effectiveness of TC-YOLO on our traffic camera detection dataset, and the results obtained from the experiment substantiate the efficacy of our model. The model attained a mean perfo
Compatriot
发表于 2025-3-22 11:07:48
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系列
发表于 2025-3-22 15:14:34
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restrain
发表于 2025-3-22 19:51:15
https://doi.org/10.1007/978-3-642-95399-6s. Despite being trained under category supervision, the SGCA module adeptly captures active regions encompassing various high-order semantic features. These features include focusing features and contour features of the object. When integrated into existing lightweight backbone networks, the SGCA m
Malleable
发表于 2025-3-23 00:21:30
https://doi.org/10.1007/978-3-642-95399-6ferent receptive fields and extract multi-scale feature representations. The second is to use the serialized maximum pooling structure to aggregate the local information of the image. By considering the pixels, regions and features around the target, the relationship between the target and its surro
Permanent
发表于 2025-3-23 03:43:04
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疏忽
发表于 2025-3-23 05:43:57
Vom Kontenrahmen zum Kontenplan,KG with popular adversarial robustness methods. Experiment evaluations on three benchmark databases demonstrate that our proposed attention-aware knowledge guidance for deep metric learning significantly outperforms state-of-the-art defenses in terms of both adversarial robustness and benign perform