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Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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31#
發(fā)表于 2025-3-26 23:03:00 | 只看該作者
,Plug-and-Play Learned Proximal Trajectory for?3D Sparse-View X-Ray Computed Tomography,e restoration network to be a robust approximation of a proximal operator along a pre-defined optimization trajectory. We demonstrate the effectiveness and scalability of our approach on two 3D Cone-Beam CT datasets and outperform state-of-the-art methods in terms of PSNR. Code is available at ..
32#
發(fā)表于 2025-3-27 02:30:28 | 只看該作者
33#
發(fā)表于 2025-3-27 06:25:32 | 只看該作者
Conference proceedings 2025nt learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..
34#
發(fā)表于 2025-3-27 11:29:26 | 只看該作者
Prüfungstraining zum Bankfachwirtgically transform the input and output through prompt engineering and label mapping, respectively. Yet, existing methodologies often overlook the synergy between these components, leaving the intricate relationship between them underexplored. To address this, we propose an .ptimal .ransport-based .a
35#
發(fā)表于 2025-3-27 13:53:19 | 只看該作者
36#
發(fā)表于 2025-3-27 19:45:58 | 只看該作者
37#
發(fā)表于 2025-3-27 23:30:14 | 只看該作者
38#
發(fā)表于 2025-3-28 05:30:04 | 只看該作者
39#
發(fā)表于 2025-3-28 09:04:46 | 只看該作者
Allgemeine Bankbetriebswirtschaft a reconstructive network followed by a discriminative network that relies on the reconstruction output. Currently used reconstructive networks often produce poor reconstructions that either still contain anomalies or lack details in anomaly-free regions. Discriminative methods are robust to some re
40#
發(fā)表于 2025-3-28 12:25:42 | 只看該作者
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