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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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41#
發(fā)表于 2025-3-28 17:46:45 | 只看該作者
42#
發(fā)表于 2025-3-28 21:59:44 | 只看該作者
UHD Underwater Image Enhancement via?Frequency-Spatial Domain Aware Networkderwater exploration. However, due to the poor light transmission in deep water spaces and the large number of impurity particles, UHD underwater imaging is often plagued by low contrast and blur. To overcome these challenges, we propose an efficient two-path model (UHD-SFNet) that recovers the colo
43#
發(fā)表于 2025-3-29 00:17:50 | 只看該作者
44#
發(fā)表于 2025-3-29 06:46:41 | 只看該作者
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發(fā)表于 2025-3-29 07:55:07 | 只看該作者
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發(fā)表于 2025-3-29 13:56:55 | 只看該作者
Multi-Branch Network with?Ensemble Learning for?Text Removal in?the?Wildicacy of background, earlier STR approaches may not successfully remove scene text. We discovered that different networks produce different text removal results. Thus, we present a novel STR approach with a multi-branch network to entirely erase the text while maintaining the integrity of the backgr
47#
發(fā)表于 2025-3-29 16:21:26 | 只看該作者
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruningdemand for a lightweight alpha matting model due to the limited computational resources of commercial portable devices. To this end, we suggest a distillation-based channel pruning method for the alpha matting networks. In the pruning step, we remove channels of a student network having fewer impact
48#
發(fā)表于 2025-3-29 20:03:37 | 只看該作者
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發(fā)表于 2025-3-30 00:35:22 | 只看該作者
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發(fā)表于 2025-3-30 07:10:52 | 只看該作者
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