Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification 事件

Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification arXiv:2606.02242v1 Announce Type: new Abstract: The joint optimization of image-based (I2I) and text-based (T2I) person re-identification (ReID) is hindered by modality discrepancies and conflicting training objectives, leading to suboptimal shared representations. While I2I ReID focuses on identity-level invariance across images of the same person, T2I ReID is driven by instance-specific textual des