Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification

• URL: http://arxiv.org/abs/2210.03592v1
• Date: Fri, 7 Oct 2022 14:47:28 GMT
• Title: Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
• Authors: Renjie Zhang, Yu Fang, Huaxin Song, Fangbin Wan, Yanwei Fu, Hirokazu Kato, and Yang Wu
• Abstract summary: Re-ID can work under more complicated scenarios with higher security than normal Re-ID and biometric techniques. We propose a novel retrieval-verification framework to handle similar images.
• Score: 36.4001616893874
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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