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Titlebook: Leben mit dem Herzinfarkt; Eine sozialepidemiol B. Badura,G. Kaufhold,M. Waltz Book 1987Latest edition Springer-Verlag Berlin Heidelberg 19

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發(fā)表于 2025-3-28 18:01:45 | 只看該作者
42#
發(fā)表于 2025-3-28 22:35:50 | 只看該作者
T. Schottover the original Oxford RobotCar dataset since it has better LiDAR sensors and location ground truth is available for all sequences. However, it turns out that the Radar dataset has serious issues with its ground truth and therefore experimental findings with this dataset can be misleading. We demo
43#
發(fā)表于 2025-3-29 01:56:28 | 只看該作者
44#
發(fā)表于 2025-3-29 06:56:51 | 只看該作者
H. Pfaffper-Resolution (SR) methods mostly assume that the LR image is a result of blurring and downsampling the HR image, while in reality LR images are often degraded by additional factors such as low-light, low-contrast, noise, and color distortion. Due to this, current State-of-the-Art (SoTA) SR methods
45#
發(fā)表于 2025-3-29 11:16:14 | 只看該作者
H. Pfaffion information of an action is analyzed using a large number of frames. This is a limitation if very fast actions (e.g., in sport analysis) have to be analyzed. To overcome this limitation, we propose a method that uses a single-frame representation for actions based on appearance and motion inform
46#
發(fā)表于 2025-3-29 13:41:03 | 只看該作者
T. Schottzumab. Often, the prescription is majorly dependent on the decision of a physician supported by optical coherence tomography (OCT) images that capture the progress or failure of treatments. Nevertheless, comparative clinical effectiveness of these treatments for the management of macular edema remai
47#
發(fā)表于 2025-3-29 17:41:34 | 只看該作者
G. Kaufholdto classify. This is used for data from an automatic visual defect inspection system, specifically images of vials with and without chipped glass. The hard samples were found by training ConvNeXt classifiers and using the confidences of the classifiers on the training dataset. VQ-VAE2 was used to ob
48#
發(fā)表于 2025-3-29 22:21:43 | 只看該作者
B. Badura,H. Lehmannto classify. This is used for data from an automatic visual defect inspection system, specifically images of vials with and without chipped glass. The hard samples were found by training ConvNeXt classifiers and using the confidences of the classifiers on the training dataset. VQ-VAE2 was used to ob
49#
發(fā)表于 2025-3-30 00:37:34 | 只看該作者
50#
發(fā)表于 2025-3-30 04:12:24 | 只看該作者
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