Pyramid-resolution person restoration for cross-resolution person re-identification

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-05-16 DOI:10.1007/s11432-023-4023-y
Chunlei Peng, Bo Wang, Decheng Liu, Nannan Wang, Xinbo Gao
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引用次数: 0

Abstract

In this study, we present a simple yet effective pyramid-resolution person restoration method for cross-resolution person re-identification. Our method involves a pyramid resolution restoration network that enhances pyramid resolution images, and utilizes feature distance fusion to leverage valuable and complementary information from these pyramid images. Extensive experiments demonstrate the effectiveness of our method on both real-world cross-resolution datasets and simulated datasets.

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用于交叉分辨率人物再识别的金字塔分辨率人物还原
在这项研究中,我们提出了一种简单而有效的金字塔分辨率人物还原方法,用于跨分辨率人物再识别。我们的方法涉及一个金字塔分辨率还原网络,该网络可增强金字塔分辨率图像,并利用特征距离融合来利用这些金字塔图像中有价值的互补信息。广泛的实验证明了我们的方法在真实世界交叉分辨率数据集和模拟数据集上的有效性。
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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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