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Titlebook: Computer Vision Systems; 14th International C Henrik I. Christensen,Peter Corke,Markus Vincze Conference proceedings 2023 The Editor(s) (if

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楼主: tornado
发表于 2025-3-25 07:05:25 | 显示全部楼层
Conference proceedings 2023 ..The 37 full papers presented were carefully reviewed and selected from 74 submissions. The conference focuses on Humans and Hands; Medical and Health Care; Farming and Forestry; Automation and Manufacturing; Mobile Robotics and Autonomous Systems;  and Performance and Robustness..
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The Deconfinement Transition of QCDlable benchmark, outperforming other existing solutions by 9% and proving that the presented technique offers a successful alternative to 3D-based approaches. Finally, the ablation study shows the significance of each network input and explores potential ways to improve the presented methodology in future research.
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The Decubitus Ulcer in Clinical Practice for various radius dimensions and two background seeds variants, concluding that the best combination is a circle with a radius of 25 pixels as foreground seeds and the black pixels from the original image as background seeds.
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Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognitionlable benchmark, outperforming other existing solutions by 9% and proving that the presented technique offers a successful alternative to 3D-based approaches. Finally, the ablation study shows the significance of each network input and explores potential ways to improve the presented methodology in future research.
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0302-9743 er 2023..  ..The 37 full papers presented were carefully reviewed and selected from 74 submissions. The conference focuses on Humans and Hands; Medical and Health Care; Farming and Forestry; Automation and Manufacturing; Mobile Robotics and Autonomous Systems;  and Performance and Robustness..978-3-
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https://doi.org/10.1007/978-3-642-60509-3 keypoint density is used to create overlay masks to augment images, emphasizing low-density areas—typically corresponding to weed plants. Our method is shown to improve detection . on the YOLOR-CSP detector by up to 0.0215.
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Amparo Serrano-Pascual,Maria Jepsenectiveness and demonstrate the value of depth data in accurately recognizing sign language gestures. Our experiments show that our proposed generative depth architecture outperforms an RGB-only counterpart.
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