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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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書目名稱Image and Vision Computing
副標題37th International C
編輯Wei Qi Yan,Minh Nguyen,Martin Stommel
視頻videohttp://file.papertrans.cn/462/461528/461528.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image and Vision Computing; 37th International C Wei Qi Yan,Minh Nguyen,Martin Stommel Conference proceedings 2023 The Editor(s) (if applic
描述This book constitutes the proceedings of the 37th International Conference, IVCNZ 2022, which took place in Auckland, New Zealand, in November 2022..The 37 papers (14 accepted for long oral presentation, 23 for short oral presentation) included in this volume were carefully reviewed and selected from 79 submissions. ..The conference presents papers on all aspects of computer vision, image processing, computer graphics, virtual and augmented reality, visualization, and HCI applications related to these fields. .
出版日期Conference proceedings 2023
關鍵詞artificial intelligence; computer science; computer systems; computer vision; deep learning; education; en
版次1
doihttps://doi.org/10.1007/978-3-031-25825-1
isbn_softcover978-3-031-25824-4
isbn_ebook978-3-031-25825-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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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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