All in One Framework for Multimodal Re-identification in the Wild

arXiv:2405.04741v1 Announce Type: new
Abstract: In Re-identification (ReID), recent advancements yield noteworthy progress in both unimodal and cross-modal retrieval tasks. However, the challenge persists in developing a unified framework that could effectively handle varying multimodal data, including RGB, infrared, sketches, and textual information. Additionally, the emergence of large-scale models shows promising performance in various vision tasks but the foundation model in ReID is still blank. In response to these challenges, a novel multimodal learning paradigm for ReID is introduced, referred …

abstract arxiv challenge cs.cv data emergence framework however identification information large-scale models modal multimodal multimodal data progress retrieval scale shows sketches tasks textual type