Not All Patches Are Equally Forgettable: Spatially Localized Domain Unlearning in Vision-Language Models

Pre-trained vision-language models (VLMs) exhibit strong cross-domain recognition performance even without additional training. However, this robustness can also preserve undesirable domain-specific behavior, as domain-related and semantic information often remain entangled within the learned repres