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Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

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發(fā)表于 2025-3-25 06:05:19 | 只看該作者
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發(fā)表于 2025-3-25 11:31:19 | 只看該作者
978-3-031-26283-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-25 13:33:06 | 只看該作者
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發(fā)表于 2025-3-25 18:31:42 | 只看該作者
Conference proceedings 2023cember 2022...The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; optimization methods;.Part II: applications of
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發(fā)表于 2025-3-26 00:52:00 | 只看該作者
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發(fā)表于 2025-3-26 07:28:43 | 只看該作者
Conference proceedings 2023ing, and shape representation; datasets and performance analysis;.Part VI: biomedical image analysis; deep learning for computer vision; ..Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .
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發(fā)表于 2025-3-26 10:02:09 | 只看該作者
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發(fā)表于 2025-3-26 16:27:08 | 只看該作者
Introduction: Mainstreaming the Marginal,mental comparison to the existing approaches, our model offers the best trade-off between uncertainty orientation likeliness, model accuracy and computation costs. Our industrial application is skin color estimation based on a selfie picture, which is at the core of an online make-up assistant but i
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發(fā)表于 2025-3-26 20:23:32 | 只看該作者
Introduction: Mainstreaming the Marginal,gation. In our experiments, the proposed block consistently shows significant performance improvement across various backbone networks, resulting in state-of-the-art results in RGB-T and RGB-D crowd counting.
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