papersSEP 10 04:00 UTC
Researchers Propose Image Prototype Distillation for Guided Test-Time Adaptation
A new arXiv paper presents a method that distills image prototypes to guide test-time adaptation of models facing distribution shifts. The technique addresses two common failure modes in this setting: error buildup from unreliable pseudo-labels and degradation of knowledge learned during pretraining. By anchoring adaptation to distilled prototypes, the authors aim to make inference-time model updates more stable.