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Titlebook: Image and Graphics Technologies and Applications; 17th Chinese Confere Yongtian Wang,Huimin Ma,Ran He Conference proceedings 2022 The Edito

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11#
發(fā)表于 2025-3-23 11:02:11 | 只看該作者
Towards Neural Video Compression: A Rate Distortion Modeling Perspectiveork is proposed to improve predictive coding efficiency. Regarding the latter aspect, coarse-to-fine (C2F) residual modeling and in-loop restoration are proposed to save the residual coding bits. The proposed framework substantially promotes the R-D performance of NVC in a comprehensive manner. The
12#
發(fā)表于 2025-3-23 16:00:31 | 只看該作者
13#
發(fā)表于 2025-3-23 20:11:32 | 只看該作者
BSIHKS of?Three-Dimensional Point Cloud Model and?Model Matching: Bi-temporal Scaling Invariant Heato triangulate the three-dimensional point cloud model, and can effectively represent the geometric and topological information of the three-dimensional point cloud model. Based on BSIHKS, the model similarity measure between BSIHKS values of a pair of three-dimensional point cloud models is defined
14#
發(fā)表于 2025-3-23 22:11:10 | 只看該作者
Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selectioneight parameters of MMFD by the thresholding techniques. Extensive experiments on proposed method are performed over satellite and UAV datasets, and results show that the proposed method provides favorable performance (RSME of 1.59761 and 1.0811) with respect to eight state-of-the-art methods.
15#
發(fā)表于 2025-3-24 02:42:08 | 只看該作者
Deform-CAM: Self-attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentatimore target features and robustly improve the performance of WSSS without training the classifier multiple times. Our proposed method achieves the mIoU of 65.5% and 66.8% on the Pascal VOC 2012?val and test sets, respectively, demonstrating the feasibility of the method.
16#
發(fā)表于 2025-3-24 09:54:13 | 只看該作者
17#
發(fā)表于 2025-3-24 12:45:50 | 只看該作者
18#
發(fā)表于 2025-3-24 18:55:55 | 只看該作者
Xinqian Zhao,Jian Chen,Hongwei Lin,Yibo Zhao,Changchuan Wei
19#
發(fā)表于 2025-3-24 23:03:04 | 只看該作者
20#
發(fā)表于 2025-3-25 02:43:32 | 只看該作者
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