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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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.

organism

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.

ARC

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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.