Generalizable Person Re Identification

Generalized Person Re-Identification (ReID) refers to the task where methods trained on a source dataset are directly evaluated on a target dataset without performing domain adaptation or transfer learning. The goal of this task is to enhance the model's generalization capability across different scenarios, ensuring that it can accurately identify individuals in unseen data. This is of significant value in practical applications such as cross-camera networks and multi-scene surveillance.