CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification

arXiv:2311.10605v2 Announce Type: replace
Abstract: Person re-identification (re-ID) is a challenging task that aims to learn discriminative features for person retrieval. In person re-ID, Jaccard distance is a widely used distance metric, especially in re-ranking and clustering scenarios. However, we discover that camera variation has a significant negative impact on the reliability of Jaccard distance. In particular, Jaccard distance calculates the distance based on the overlap of relevant neighbors. Due to camera variation, intra-camera samples dominate the relevant neighbors, which …

abstract arxiv clustering cs.cv features however identification impact jaccard learn negative person ranking reliability retrieval type variation