One-Shot Crowd Counting With Density Guidance For Scene Adaptation 事件

One-Shot Crowd Counting With Density Guidance For Scene Adaptation arXiv:2602.07955v2 Announce Type: replace Abstract: Crowd scenes captured by cameras at different locations vary greatly, and existing crowd models have limited generalization for unseen surveillance scenes. To improve the generalization of the model, we regard different surveillance scenes as different category scenes, and introduce few-shot learning to make the model adapt to the unseen surveillance scene that belongs to the g