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Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A

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樓主: Spouse
21#
發(fā)表于 2025-3-25 03:46:04 | 只看該作者
22#
發(fā)表于 2025-3-25 11:15:11 | 只看該作者
23#
發(fā)表于 2025-3-25 14:02:48 | 只看該作者
24#
發(fā)表于 2025-3-25 18:21:28 | 只看該作者
Dong Xie,Jianfeng Lu,Zhenbo Song,Xuanzhu Chenul, innocent cultural construct based primarily onConfucius’?passive approach. By bringing these three identities into “one Chinese body” (三位一體, sanwei?yiti), China’s policymakers skillfully maneuver and build the country’s position in the arena of?global affairs..
25#
發(fā)表于 2025-3-25 20:19:07 | 只看該作者
26#
發(fā)表于 2025-3-26 01:03:48 | 只看該作者
Temporal Global Re-detection Based on?Interaction-Fusion Attention in?Long-Term Visual Trackingng algorithms is a general solution. To better handle the problem of target disappearing and reappearing in long-term visual tracking, this paper proposes a temporal global re-detection method based on interaction-fusion attention. Firstly, ResNet50 is used as the feature extraction network to obtai
27#
發(fā)表于 2025-3-26 06:04:33 | 只看該作者
VLNet: A Multi-task Network for?Joint Vehicle and?Lane Detection However, most existing methods are usually unable to simultaneously accomplish multiple visual perception tasks, limiting the promotion and utilization. To this end, we propose VLNet: a novel and effective multi-task road environment perception network, which can perform vehicle and lane detection
28#
發(fā)表于 2025-3-26 09:39:09 | 只看該作者
Adaptive Cost Aggregation in?Iterative Depth Estimation for?Efficient Multi-view Stereoh high-resolution outputs since the memory and time costs grow cubically as the volume resolution increases. In this paper, we presented an multi-stage iterative depth map estimation method for MVS. In our network, the cost volume is iteratively processed by lightweight 2D convolution based GRU modu
29#
發(fā)表于 2025-3-26 16:32:02 | 只看該作者
A Novel Semantic Segmentation Method for High-Resolution Remote Sensing Images Based on Visual Attench are particularly important for segmentation. The Transformer-based segmentation methods can obtain global dependencies while bring a large computational burden. To efficiently capture the long-range dependencies, we design a novel RS image segmentation model SegVAN with encoder-decoder structure
30#
發(fā)表于 2025-3-26 19:55:06 | 只看該作者
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