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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.

arXiv catastrophic-forgetting distribution-shift image-prototype-distillation pseudo-labeling test-time-adaptation

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIDistilling Image Prototypes for Guided Test-Time Adaptation ↗SEP 10 04:00 UTC