Personalized Generative Models for Contextual Debiasing 事件

Personalized Generative Models for Contextual Debiasing arXiv:2605.26353v1 Announce Type: new Abstract: Different visual patterns appear with different frequencies in the world: e.g., beach balls appear on sand more often than they do on a road. These statistics are reflected in vision datasets, and as a result trained models more easily recognize objects in common scenarios. However, recognizing a beach ball on a road may arguably be even more important than recognizing it on sand. We study ho