A prompt-driven teacher-student detector adapts to aerial weather shifts with five source images, but its student uses target pseudo-labels, contradicting the zero-shot claim.
Overcoming distribution shift in machine learning: A survey on regularization techniques for transfer learning
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Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments
A prompt-driven teacher-student detector adapts to aerial weather shifts with five source images, but its student uses target pseudo-labels, contradicting the zero-shot claim.