复杂
发表于 2025-3-21 17:41:59
书目名称Image and Vision Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0461528<br><br> <br><br>书目名称Image and Vision Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0461528<br><br> <br><br>
judicial
发表于 2025-3-21 20:47:14
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南极
发表于 2025-3-22 03:16:46
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外观
发表于 2025-3-22 07:38:57
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天气
发表于 2025-3-22 11:30:43
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苍白
发表于 2025-3-22 16:21:41
,Extending Temporal Data Augmentation for Video Action Recognition, the relationship between the spatial and temporal domains and achieve a deeper level of perturbations. The video action recognition results of our techniques outperform their respective variants in Top-1 and Top-5 settings on the UCF-101 [.] and the HMDB-51 [.] datasets.
木讷
发表于 2025-3-22 18:37:55
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同义联想法
发表于 2025-3-22 21:41:17
,Assessing the Condition of Copper Conductors Using Deep Learning, condition into multiple classes ranked by the type and severity of the degradation. The best test accuracy of 83.02% was reached. This model can be used to improve on the current manually-intensive and time consuming inspection practice commonly used in the electrical distribution industry.
Adjourn
发表于 2025-3-23 04:03:02
,Outlier Detection for Visual Odometry in Vegetated Scenes Using Local Flow Consistency, synthetic data containing wide ranges of scene motion. Our results show that the proposed method works well as a pre-processing step to RANSAC, improving pose estimation accuracy in dynamic vegetated environments with minimal computation overhead.
我要沮丧
发表于 2025-3-23 07:57:21
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