Direct Transfer Person Re-identification

"Direct Transfer Person Re-identification" is a technology in the field of computer vision that aims to achieve efficient and accurate matching of person re-identification across different scenarios through direct transfer learning methods. This technology enhances the model's generalization capability in new environments by optimizing feature representation and cross-domain adaptation, and it is widely applied in intelligent surveillance, security protection, and crowd management, among other scenarios, making it of significant practical value.