Titlebook: Image and Vision Computing; 37th International C Wei Qi Yan,Minh Nguyen,Martin Stommel Conference proceedings 2023 The Editor(s) (if applic

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书目名称Image and Vision Computing影响因子(影响力)




书目名称Image and Vision Computing影响因子(影响力)学科排名




书目名称Image and Vision Computing网络公开度




书目名称Image and Vision Computing网络公开度学科排名




书目名称Image and Vision Computing被引频次




书目名称Image and Vision Computing被引频次学科排名




书目名称Image and Vision Computing年度引用




书目名称Image and Vision Computing年度引用学科排名




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书目名称Image and Vision Computing读者反馈学科排名

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,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.

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,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.

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,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.

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