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Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

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發(fā)表于 2025-3-23 11:08:24 | 只看該作者
12#
發(fā)表于 2025-3-23 16:58:25 | 只看該作者
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發(fā)表于 2025-3-23 21:07:56 | 只看該作者
14#
發(fā)表于 2025-3-23 22:32:57 | 只看該作者
https://doi.org/10.1007/978-3-030-88221-1MatchFormer is a multi-win solution in efficiency, robustness, and precision. Compared to the previous best method in indoor pose estimation, our lite MatchFormer has only . GFLOPs, yet achieves a . precision gain and a . running speed boost. The large MatchFormer reaches state-of-the-art on four di
15#
發(fā)表于 2025-3-24 06:20:08 | 只看該作者
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發(fā)表于 2025-3-24 06:36:05 | 只看該作者
Modular Degradation Simulation and?Restoration for?Under-Display Camera-style network named DWFormer for UDC image restoration. For practical purposes, we use depth-wise convolution instead of the multi-head self-attention to aggregate local spatial information. Moreover, we propose a novel channel attention module to aggregate global information, which is critical for
17#
發(fā)表于 2025-3-24 12:25:41 | 只看該作者
UHD Underwater Image Enhancement via?Frequency-Spatial Domain Aware Networkd branch, we develop U-RSGNet to capture the color features of the image after Gaussian blurring to generate a feature map rich in color information. Finally, the extracted texture features are fused with the color features to produce a clear underwater image. In addition, to construct paired high-q
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發(fā)表于 2025-3-24 17:07:13 | 只看該作者
19#
發(fā)表于 2025-3-24 20:16:10 | 只看該作者
Uncertainty-Based Thin Cloud Removal Network via?Conditional Variational Autoencodersation performance caused by training on synthetic datasets. Quantitative and qualitative experiments show that the proposed method significantly outperforms state-of-the-art methods on real-world cloud images. The source code and dataset are available at ..
20#
發(fā)表于 2025-3-24 23:54:14 | 只看該作者
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