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Titlebook: Image and Graphics; 11th International C Yuxin Peng,Shi-Min Hu,Kun Xu Conference proceedings 2021 Springer Nature Switzerland AG 2021 artif

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樓主: FAD
41#
發(fā)表于 2025-3-28 15:47:37 | 只看該作者
42#
發(fā)表于 2025-3-28 20:54:01 | 只看該作者
43#
發(fā)表于 2025-3-28 23:19:37 | 只看該作者
44#
發(fā)表于 2025-3-29 05:36:31 | 只看該作者
Gesture-Based Autonomous Diving Buddy for Underwater Photographyomplete the task of underwater gesture recognition. Then we experimented on the algorithm and the system. Experiments show that the algorithm performs well and the proposed ADB can make corresponding actions correctly according to gestures.
45#
發(fā)表于 2025-3-29 08:09:03 | 只看該作者
46#
發(fā)表于 2025-3-29 12:12:14 | 只看該作者
47#
發(fā)表于 2025-3-29 19:06:54 | 只看該作者
Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer e HAS-Net introduces the spatial transformer network (STN) to overcome the translation, scale, rotation and more generic warping of 2D image patches. In addition, the HAS-Net uses the negative sample sampling strategy of hard triplet loss to solve the uncertainty of randomly sampling negative sample
48#
發(fā)表于 2025-3-29 20:11:09 | 只看該作者
49#
發(fā)表于 2025-3-30 03:36:34 | 只看該作者
Scaling Invariant Harmonic Wave Kernel Signature for 3D Point Cloud SimilarityS is a shape descriptor involving in the Laplace-Beltrami operator, which can effectively extract geometric and topological information from 3D point cloud models. Based on SIHWKS, the modified Hausdorff distance between SIHWKS values of 3D point cloud model is calculated as similarity measurement,
50#
發(fā)表于 2025-3-30 05:13:37 | 只看該作者
PST-NET: Point Cloud Sampling via Point-Based Transformerh remarkable improvement for shape classification. Also various combinations of relation functions for self-attention are analyzed based on controlled experiments. The result shows that concatenation is more suitable for self-attention in sampling.
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