Coarse
发表于 2025-3-21 20:02:52
书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469281<br><br> <br><br>书目名称Intelligence Science and Big Data Engineering. Visual Data Engineering读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469281<br><br> <br><br>
恶心
发表于 2025-3-21 20:17:42
Intelligence Science and Big Data Engineering. Visual Data Engineering978-3-030-36189-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
异端邪说2
发表于 2025-3-22 01:19:55
https://doi.org/10.1007/978-3-030-36189-1artificial intelligence; computational linguistics; computer networks; computer vision; data mining; face
神圣不可
发表于 2025-3-22 04:49:13
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态度暖昧
发表于 2025-3-22 10:06:49
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Abnormal
发表于 2025-3-22 15:05:15
Adaptive Online Learning for Video Object Segmentation,arn how to online adapt the learned segmentation model to the specific testing video sequence and the corresponding future video frames, where the confidence patterns is employed to constrain/guide the implementation of adaptive learning process by fusing both object appearance and motion cue inform
难听的声音
发表于 2025-3-22 19:15:57
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FIG
发表于 2025-3-22 23:53:02
Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation, MemNet-based algorithm can not only normalize and improve the quality of brain MR images, but also enable the same 3D U-Net to produce substantially more accurate segmentation of major brain tissues.
改正
发表于 2025-3-23 02:47:00
Sparse-Temporal Segment Network for Action Recognition,ontain the complementary features. Extensive experiments in subjective and objective show that temporal-sparse segment network can reach the accuracy of 94.2%, which is significantly better than several state-of-the-art algorithms.
BILK
发表于 2025-3-23 08:53:48
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