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Titlebook: Computer-Aided Design and Computer Graphics; 18th International C Shi-Min Hu,Yiyu Cai,Paul Rosin Conference proceedings 2024 The Editor(s)

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樓主: Waterproof
41#
發(fā)表于 2025-3-28 14:39:34 | 只看該作者
42#
發(fā)表于 2025-3-28 22:32:26 | 只看該作者
https://doi.org/10.1007/978-3-319-91620-0ard to capture the underlying patterns and traits of the few-shot classes. To meet the challenges, we propose a Self-supervised Contrastive Feature Refinement (SCFR) framework which tackles the FSCIL issue from three aspects. Firstly, we employ a self-supervised learning framework to make the networ
43#
發(fā)表于 2025-3-28 23:19:38 | 只看該作者
Conference proceedings 2024h took place in?Shanghai, China, during August 19–21, 2023..The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as?computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer
44#
發(fā)表于 2025-3-29 04:03:48 | 只看該作者
,Avant-Garde and Continuity 1887–1986,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.
45#
發(fā)表于 2025-3-29 09:28:34 | 只看該作者
MsF-HigherHRNet: Multi-scale Feature Fusion for Human Pose Estimation in Crowded Scenes,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.
46#
發(fā)表于 2025-3-29 13:42:43 | 只看該作者
47#
發(fā)表于 2025-3-29 17:50:06 | 只看該作者
48#
發(fā)表于 2025-3-29 21:57:40 | 只看該作者
Current Conditions of Rural Credit in China,DFP-Net, which takes the encoding matrices as input, extracts deeper features using the Encoder, and recognizes feature points using the Decoder. Our experiments on industrial parts demonstrate the superior efficiency of our method.
49#
發(fā)表于 2025-3-30 01:33:23 | 只看該作者
50#
發(fā)表于 2025-3-30 06:29:48 | 只看該作者
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