论文标题
专业重新排列：一个新颖的检索验证框架，用于换衣的人重新识别
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
论文作者
论文摘要
换衣服重新识别（RE-ID）可以在更复杂的情况下起作用，安全性高于正常重新ID和生物识别技术，因此在应用中非常有价值。同时，外观的灵活性更高总是会导致更加相似的令人困惑的图像，这是广泛使用的检索方法的弱点。在这项工作中，我们阐明了如何处理这些相似图像。具体来说，我们提出了一个新颖的检索验证框架。给定图像，检索模块可以快速搜索相似的图像。然后，我们提出的验证网络将通过对比这些本地细节并给出相似性得分来比较输入图像和候选图像。还引入了创新的排名策略，以在检索结果和验证结果之间取得良好的平衡。进行了全面的实验，以显示我们框架的有效性及其在改善合成和现实数据集的最先进方法方面的能力。
Cloth changing person re-identification(Re-ID) can work under more complicated scenarios with higher security than normal Re-ID and biometric techniques and is therefore extremely valuable in applications. Meanwhile, higher flexibility in appearance always leads to more similar-looking confusing images, which is the weakness of the widely used retrieval methods. In this work, we shed light on how to handle these similar images. Specifically, we propose a novel retrieval-verification framework. Given an image, the retrieval module can search for similar images quickly. Our proposed verification network will then compare the input image and the candidate images by contrasting those local details and give a similarity score. An innovative ranking strategy is also introduced to take a good balance between retrieval and verification results. Comprehensive experiments are conducted to show the effectiveness of our framework and its capability in improving the state-of-the-art methods remarkably on both synthetic and realistic datasets.
