用于交叉分辨率人物再识别的金字塔分辨率人物还原

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

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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来源期刊

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.